
Samsung eMCP UMCP
Part number
Capacity
Version
DRAM Capacity
DRAM
Package
Rate
Production
KM2F8001CM-B707
256GB
UFS2.1
48Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KM2P8001CM-B518
64GB
UFS2.1
48Gb
LPDDR4X
254FBGA
4266Mbps
Sample
KM3P6001CM-B517
64GB
eMMC
48Gb
LPDDR4X
254FBGA
4266Mbps
Sample
KM5C7001DM-B622
64GB
UFS2.1
32Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KM5H80018M-B424
64GB
UFS2.1
24Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KM5P8001DM-B424
64GB
UFS2.1
32Gb
LPDDR4X
254FBGA
4266Mbps
Sample
KM8F8001JA-B813
256GB
UFS2.1
64Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KM8F8001JM-B813
256GB
UFS2.1
64Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KM4X6001KM-B321
32GB
eMMC5.1
16Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KM8V8001JM-B813
128GB
UFS2.1
64Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KMDP60018M-B425
64GB
eMMC5.1
24Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KMFN60012B-B214
8GB
eMMC5.1
8Gb
LPDDR3
221FBGA
1866Mbps
MassProduction
KMGX6001BA-B514
32GB
eMMC5.1
24Gb
LPDDR3
221FBGA
1866Mbps
MassProduction
KMQE60013B-B318
16GB
eMMC5.1
16Gb
LPDDR3
221FBGA
1866Mbps
MassProduction
KM2V8001CM-B707
128GB
UFS2.1
48Gb
LPDDR4X
254FBGA
4266Mbps
MassProduction
KMGP6001BA-B514
32GB
eMMC5.1
16Gb
LPDDR3
221FBGA
1866Mbps
MassProduction
KMQX60013A-B419
32GB
eMMC5.1
16Gb
LPDDR3
221FBGA
1866Mbps
MassProduction
Samsung EMMC
Part number
Version
Capacity
VCC
接口
Package
Temperature
Production
KLMCG2UCTB-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
MassProduction
KLMDG4UCTB-B041
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
MassProduction
KLM4G1FETE-B041
eMMC5.1
4GB
1.8,3.3V/3.3V
HS400
11x10x0.8mm
-25~85°C
MassProduction
KLM8G1GEUF-B04P
eMMC5.1
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLM8G1GEUF-B04Q
eMMC5.1
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLMAG2GEUF-B04P
eMMC5.1
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLMAG2GEUF-B04Q
eMMC5.1
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLMBG4GEUF-B04P
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLMBG4GEUF-B04Q
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLMCG2KCTA-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
MassProduction
KLMCG2UCTA-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
MassProduction
KLMDG4UCTA-B041
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
MassProduction
KLMEG8UCTA-B041
eMMC5.1
256GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
MassProduction
KLM8G1GEME-B041
eMMC5.1
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLM8G1GEND-B031
eMMC5.0
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLM8G1GESD-B03P
eMMC5.0
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLM8G1GESD-B03Q
eMMC5.0
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLM8G1GESD-B04P
eMMC5.1
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLM8G1GESD-B04Q
eMMC5.1
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLM8G1GETF-B041
eMMC5.1
8GB
1.8,3.3V/3.3V
HS400
11.5x13x0.8mm
-25~85°C
MassProduction
KLM8G1WEPD-B031
eMMC5.0
8GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLMAG1JENB-B041
eMMC5.1
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLMAG1JETD-B041
eMMC5.1
16GB
1.8,3.3V/3.3V
HS400
11.5x13x0.8mm
-25~85°C
MassProduction
KLMAG2GEND-B031
eMMC5.0
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLMAG2GEND-B041
eMMC5.1
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLMAG2GESD-B03P
eMMC5.0
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLMAG2GESD-B03Q
eMMC5.0
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLMAG2GESD-B04P
eMMC5.1
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~85°C
MassProduction
KLMAG2GESD-B04Q
eMMC5.1
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-40~105°C
MassProduction
KLMAG2WEPD-B031
eMMC5.0
16GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLMBG2JENB-B041
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMBG2JETD-B041
eMMC5.1
32GB
1.8,3.3V/3.3V
HS400
11.5x13x0.8mm
-25~85°C
MassProduction
KLMBG4GEND-B031
eMMC5.0
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMBG4GEND-B041
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMBG4GESD-B03P
eMMC5.0
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~85°C
MassProduction
KLMBG4GESD-B03Q
eMMC5.0
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~105°C
MassProduction
KLMBG4GESD-B04P
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~85°C
MassProduction
KLMBG4GESD-B04Q
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~85°C
MassProduction
KLMBG4WEBD-B031
eMMC5.0
32GB
1.8/3.3V
HS400
11.5x13x0.8mm
-25~85°C
EOL
KLMBG4WERD-B041
eMMC5.1
32GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMCG2KETM-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMCG4JENB-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMCG4JETD-B041
eMMC5.1
64GB
1.8,3.3V/3.3V
HS400
11.5x13x1.0mm
-25~85°C
MassProduction
KLMCG4JEUD-B04P
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.2mm
-40~85°C
Massproduction
KLMCG4JEUD-B04Q
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.2mm
-40~105°C
Massproduction
KLMCG4VERF-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMCG8GEND-B031
eMMC5.0
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMCG8GEND-B041
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMCG8GESD-B03P
eMMC5.0
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~85°C
MassProduction
KLMCG8GESD-B03Q
eMMC5.0
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~105°C
MassProduction
KLMCG8GESD-B04P
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~85°C
MassProduction
KLMCG8GESD-B04Q
eMMC5.1
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-40~105°C
MassProduction
KLMCG8WEBD-B031
eMMC5.0
64GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMDG4UERM-B041
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMDG8JENB-B041
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.2mm
-25~85°C
EOL
KLMDG8JEUD-B04P
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.2mm
-40~85°C
Massproduction
KLMDG8JEUD-B04Q
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.2mm
-40~105°C
Massproduction
KLMDG8VERF-B041
eMMC5.1
128GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
KLMDGAWEBD-B031
eMMC5.0
128GB
1.8/3.3V
HS400
11.5x13x1.4mm
-25~85°C
EOL
KLMEG8UERM-C041
eMMC5.1
256GB
1.8/3.3V
HS400
11.5x13x1.0mm
-25~85°C
EOL
Samsung UFS
Part number
Version
Capacity
VCC
接口
Package
Temperature
Production
KLUBG4G1ZF-C0CP
UFS2.1
32GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~95°C
MassProduction
KLUBG4G1ZF-C0CQ
UFS2.1
32GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUCG4J1ZD-C0CP
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~95°C
MassProduction
KLUCG4J1ZD-C0CQ
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUDG8J1ZD-C0CP
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~95°C
MassProduction
KLUDG8J1ZD-C0CQ
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUEGAJ1ZD-C0CP
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.72mm
-40~95°C
MassProduction
KLUEGAJ1ZD-C0CQ
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.72mm
-40~105°C
MassProduction
KLUCG2UHYB-B0EP
UFS3.1
64GB
1.2/2.5V
G42Lane
11.5x13x1.2mm
-40~95°C
MassProduction
KLUCG2UHYB-B0EQ
UFS3.1
64GB
1.2/2.5V
G42Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUDG4UHYB-B0EP
UFS3.1
128GB
1.2/2.5V
G42Lane
11.5x13x1.2mm
-40~95°C
MassProduction
KLUDG4UHYB-B0EQ
UFS3.1
128GB
1.2/2.5V
G42Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUEG8UHYB-B0EP
UFS3.1
256GB
1.2/2.5V
G42Lane
11.5x13x1.2mm
-40~95°C
MassProduction
KLUEG8UHYB-B0EQ
UFS3.1
256GB
1.2/2.5V
G42Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUFGAUHYB-B0EP
UFS3.1
512GB
1.2/2.5V
G42Lane
11.5x13x1.72mm
-40~95°C
MassProduction
KLUFGAUHYB-B0EQ
UFS3.1
512GB
1.2/2.5V
G42Lane
11.5x13x1.72mm
-40~105°C
MassProduction
KLUDG4UHDB-B2E1
UFS3.1
128GB
1.2/2.5V
G42Lane
11.5x13x0.8mm
-25~85°C
MassProduction
KLUDG4UHDC-B0E1
UFS3.1
128GB
1.2/2.5V
G42Lane
11.5x13x0.8mm
-25~85°C
MassProduction
KLUEG8UHDB-C2E1
UFS3.1
256GB
1.2/2.5V
G42Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUEG8UHDC-B0E1
UFS3.1
256GB
1.2/2.5V
G42Lane
11.5x13x0.8mm
-25~85°C
MassProduction
KLUFG8RHDA-B2E1
UFS3.1
512GB
1.2/2.5V
G42Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUFG8RHDB-B0E1
UFS3.1
512GB
1.2/2.5V
G42Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUBG4G1CE-B0B1
UFS2.0
32GB
1.8/3.3V
G31Lane
11.5x13x1.0mm
-25~85°C
EOL
KLUBG4G1ZF-B0CP
UFS2.1
32GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~85°C
MassProduction
KLUBG4G1ZF-B0CQ
UFS2.1
32GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUCG2K1EA-B0C1
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUCG2U1YB-B0CP
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~85°C
MassProduction
KLUCG2U1YB-B0CQ
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUCG4J1BB-B0B1
UFS2.0
64GB
1.8/3.3V
G22Lane
11.5x13x1.0mm
-25~85°C
EOL
KLUCG4J1CB-B0B1
UFS2.0
64GB
1.8/3.3V
G31Lane
11.5x13x1.0mm
-25~85°C
EOL
KLUCG4J1ED-B0C1
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUCG4J1ZD-B0CP
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~85°C
MassProduction
KLUCG4J1ZD-B0CQ
UFS2.1
64GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUDG4U1EA-B0C1
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUDG4U1FB-B0C1
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUDG4U1YB-B0CP
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~85°C
MassProduction
KLUDG4U1YB-B0CQ
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUDG8J1BB-B0B1
UFS2.0
128GB
1.8/3.3V
G22Lane
11.5x13x1.2mm
-25~85°C
EOL
KLUDG8J1CB-B0B1
UFS2.0
128GB
1.8/3.3V
G31Lane
11.5x13x1.2mm
-25~85°C
EOL
KLUDG8J1ZD-B0CP
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~85°C
MassProduction
KLUDG8J1ZD-B0CQ
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUDG8V1EE-B0C1
UFS2.1
128GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
EOL
KLUEG8U1EA-B0C1
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUEG8U1EM-B0B1
UFS2.0
256GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-25~85°C
EOL
KLUEG8U1EM-B0C1
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
EOL
KLUEG8U1YB-B0CP
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~85°C
MassProduction
KLUEG8U1YB-B0CQ
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.2mm
-40~105°C
MassProduction
KLUEGAJ1ZD-B0CP
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.72mm
-40~85°C
MassProduction
KLUEGAJ1ZD-B0CQ
UFS2.1
256GB
1.8/3.3V
G32Lane
11.5x13x1.72mm
-40~105°C
MassProduction
KLUFG8R1EM-B0C1
UFS2.1
512GB
1.8/3.3V
G32Lane
11.5x13x1.0mm
-25~85°C
MassProduction
KLUGGAR1FA-B2C1
UFS2.1
1TB
1.8/3.3V
G32Lane
11.5x13x1.4mm
-25~85°C
MassProduction
KLUGGARHDA-B0D1
UFS3.0
1TB
1.2/2.5V
G42Lane
11.5x13x1.25mm
-25~85°C
MassProduction
Samsung LPDDR5X
Part Number
Capacity
Rate
VCC
Temperature
Package
K3KL3L30CM-BGCT
64Gb
x64
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
496FBGA
K3KL3L30CM-JGCT
64Gb
x64
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
441FBGA
K3KL3L30CM-MGCT
64Gb
x32
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
315FBGA
K3KL4L40DM-BGCT
96Gb
x64
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
496FBGA
K3KL5L50CM-BGCT
128Gb
x64
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
496FBGA
K3KL5L50CM-MGCT
128Gb
x32
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
315FBGA
K3KL8L80CM-MGCT
32Gb
x32
7500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
315FBGA
SamsungLPDDR5
Part Number
Capacity
架构
Rate
VCC
Temperature
Package
Production
K3LK2K20BM-BGCN
48Gb
x64
5500Mbps
1.8/1.05/0.9/0.5V
-25~85°C
496FBGA
Sample
Samsung LPDDR4x
Part Number
架构
Rate
VCC
Temperature
Package
Production
K3UH5H50AM-JGCR
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
432FBGA
Sample
K3UH7H70AM-JGCR
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
432FBGA
Sample
K4U6E3S4AA-MGCR
x32
4266Mbps
1.8/1.1/0.6V
-25~85°C
200FBGA
Sample
K4UBE3D4AA-MGCR
x32
4266Mbps
1.8/1.1/0.6V
-25~85°C
200FBGA
Sample
K4UCE3Q4AA-MGCR
x32
4266Mbps
1.8/1.1/0.6V
-25~85°C
200FBGA
Sample
K3UH5H50AM-JGCL
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
432FBGA
MassProduction
K3UH7H70AM-JGCL
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
432FBGA
MassProduction
K3UHAHA0AM-AGCL
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
556FBGA
MassProduction
K4U6E3S4AA-MGCL
x32
4266Mbps
1.8/1.1/0.6V
-25~85°C
200FBGA
MassProduction
K4UBE3D4AA-MGCL
x32
4266Mbps
1.8/1.1/0.6V
-25~85°C
200FBGA
MassProduction
K4UCE3Q4AA-MGCL
x32
4266Mbps
1.8/1.1/0.6V
-25~85°C
200FBGA
MassProduction
K4U8E3S4AD-GFCL
x32
4266Mbps
1.8/1.1/0.6V
-40~95°C
200FBGA
MassProduction
K4U8E3S4AD-GHCL
x32
4266Mbps
1.8/1.1/0.6V
-40~105°C
200FBGA
MassProduction
K4U8E3S4AD-GUCL
x32
4266Mbps
1.8/1.1/0.6V
-40~125°C
200FBGA
MassProduction
K3UH5H50AM-AGCL
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
556FBGA
批量生产
K3UH6H60BM-AGCL
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
556FBGA
MassProduction
K3UH7H70AM-AGCL
x64
4266Mbps
1.8/1.1/0.6V
-25~85°C
556FBGA
MassProduction
K4U2E3S4AA-GFCL
x32
4266Mbps
1.8/1.1/0.6V
-40~95°C
200FBGA
MassProduction
K4U2E3S4AA-GHCL
x32
4266Mbps
1.8/1.1/0.6V
-40~105°C
200FBGA
MassProduction
K4U2E3S4AA-GUCL
x32
4266Mbps
1.8/1.1/0.6V
-40~125°C
200FBGA
MassProduction
K4U6E3S4AM-GFCL
x32
4266Mbps
1.8/1.1/0.6V
-40~95°C
200FBGA
MassProduction
K4U6E3S4AM-GHCL
x32
4266Mbps
1.8/1.1/0.6V
-40~105°C
200FBGA
MassProduction
K4U6E3S4AM-GUCL
x32
4266Mbps
1.8/1.1/0.6V
-40~125°C
200FBGA
MassProduction
K4UBE3D4AM-GFCL
x32
4266Mbps
1.8/1.1/0.6V
-40~95°C
200FBGA
MassProduction
K4UBE3D4AM-GHCL
x32
4266Mbps
1.8/1.1/0.6V
-40~105°C
200FBGA
Sample
K4UBE3D4AM-GUCL
x32
4266Mbps
1.8/1.1/0.6V
-40~125°C
200FBGA
MassProduction
K4UHE3D4AA-GFCL
x32
4266Mbps
1.8/1.1/0.6V
-40~95°C
200FBGA
MassProduction
K4UHE3D4AA-GHCL
x32
4266Mbps
1.8/1.1/0.6V
-40~105°C
200FBGA
Sample
K4UHE3D4AA-GUCL
x32
4266Mbps
1.8/1.1/0.6V
-40~125°C
200FBGA
MassProduction
Samsung LPDDR4
Part Number
架构
Rate
VCC
Temperature
Package
Production
K4F2E3S4HA-TFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F2E3S4HA-THCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F2E3S4HA-TUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4F6E3S4HM-TFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F6E3S4HM-THCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F6E3S4HM-TUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4FBE3D4HM-TFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4FBE3D4HM-THCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4FBE3D4HM-TUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4FHE3D4HA-TFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4FHE3D4HA-THCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4FHE3D4HA-TUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4F6E304HB-MGCJ
x32
3733Mbps
1.8/1.1/1.1V
-25~85°C
200FBGA
MassProduction
K4F6E3S4HM-MGCJ
x32
3733Mbps
1.8/1.1/1.1V
-25~85°C
200FBGA
MassProduction
K4F8E3S4HD-MGCL
x32
4266Mbps
1.8/1.1/1.1V
-25~85°C
200FBGA
MassProduction
K4F8E3S4HD-GFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F8E3S4HD-GHCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F8E3S4HD-GUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4F2E3S4HA-GFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F2E3S4HA-GHCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F2E3S4HA-GUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4F2E3S4HM-MFCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F2E3S4HM-MHCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F4E3S4HF-GFCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F4E3S4HF-GHCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F4E3S4HF-GUCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4F6E3D4HB-MFCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F6E3D4HB-MHCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F6E3S4HM-GFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F6E3S4HM-GHCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4F6E3S4HM-GUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4F8E3S4HB-MFCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4F8E3S4HB-MHCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4FBE3D4HM-GFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4FBE3D4HM-GHCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4FBE3D4HM-GUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4FHE3D4HA-GFCL
x32
4266Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4FHE3D4HA-GHCL
x32
4266Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
K4FHE3D4HA-GUCL
x32
4266Mbps
1.8/1.1/1.1V
-40~125°C
200FBGA
MassProduction
K4FHE3D4HM-MFCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~95°C
200FBGA
MassProduction
K4FHE3D4HM-MHCJ
x32
3733Mbps
1.8/1.1/1.1V
-40~105°C
200FBGA
MassProduction
Samsung LPDDR3
Part Number
Capacity
架构
Rate
VCC
Temperature
Package
production
K4E6E304EC-EGCG
16Gb
x32
2133Mbps
1.8/1.2/1.2V
-25~85°C
178FBGA
MassProduction
K4E8E324EB-EGCG
8Gb
x32
2133Mbps
1.8/1.2/1.2V
-25~85°C
178FBGA
MassProduction
K4EBE304EC-EGCG
32Gb
x32
2133Mbps
1.8/1.2/1.2V
-25~85°C
178FBGA
MassProduction
K4E6E304ED-EGCG
16Gb
x32
2133Mbps
1.8/1.2/1.2V
-25~85°C
178FBGA
MassProduction
K4E8E324ED-EGCG
8Gb
x32
2133Mbps
1.8/1.2/1.2V
-25~85°C
178FBGA
MassProduction
K4EBE304ED-EGCG
32Gb
x32
2133Mbps
1.8/1.2/1.2V
-25~85°C
178FBGA
MassProduction
Samsung DDR3
Part Number
Capacity
架构
Rate
VCC
Temperature
Package
Production
K4B1G1646I-BYNB
1Gb
64Mx16
2133Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B2G1646F-BYNB
2Gb
128Mx16
2133Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G0846E-YCK0
4Gb
512Mx8
1600Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846E-YCMA
4Gb
512Mx8
1866Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G1646E-YCK0
4Gb
512Mx8
1600Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G1646E-YCMA
4Gb
512Mx8
1866Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B8G0846D-MMMA
8Gb
1Gx8
1866Mbps
1.35V
-40~95°C
78FBGA
EOL
K4B8G1646D-MMMA
8Gb
512Mx16
1866Mbps
1.35V
0~85°C
96FBGA
EOL
K4B1G0846I-BYNB
1Gb
128Mx8
2133Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B8G0846D-MCK0
8Gb
1Gx8
1600Mbps
1.5V
0~85°C
78FBGA
EOL
K4B8G0846D-MCMA
8Gb
1Gx8
1866Mbps
1.5V
0~85°C
78FBGA
EOL
K4B8G0846D-MCNB
8Gb
1Gx8
2133Mbps
1.5V
0~85°C
78FBGA
EOL
K4B8G0846D-MMK0
8Gb
1Gx8
1600Mbps
1.35V
-40~95°C
78FBGA
EOL
K4B8G0846D-MYK0
8Gb
1Gx8
1600Mbps
1.35V
0~85°C
78FBGA
EOL
K4B8G0846D-MYMA
8Gb
1Gx8
1866Mbps
1.35V
0~85°C
78FBGA
EOL
K4B8G1646D-MCK0
8Gb
512Mx16
1600Mbps
1.5V
0~85°C
96FBGA
EOL
K4B8G1646D-MCMA
8Gb
512Mx16
1866Mbps
1.5V
0~85°C
96FBGA
EOL
K4B8G1646D-MCNB
8Gb
512Mx16
2133Mbps
1.5V
0~85°C
96FBGA
EOL
K4B8G1646D-MMK0
8Gb
512Mx16
1600Mbps
1.35V
0~85°C
96FBGA
EOL
K4B8G1646D-MYK0
8Gb
512Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
EOL
K4B8G1646D-MYMA
8Gb
512Mx16
1866Mbps
1.35V
-40~95°C
96FBGA
EOL
K4B1G0846I-BCK0
1Gb
128Mx8
1600Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B1G0846I-BCMA
1Gb
128Mx8
1866Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B1G0846I-BCNB
1Gb
128Mx8
2133Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B1G0846I-BMK0
1Gb
128Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B1G0846I-BMMA
1Gb
128Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B1G0846I-BYK0
1Gb
128Mx8
1600Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B1G0846I-BYMA
1Gb
128Mx8
1866Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B1G1646I-BCK0
1Gb
64Mx16
1600Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B1G1646I-BCMA
1Gb
64Mx16
1866Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B1G1646I-BCNB
1Gb
64Mx16
2133Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B1G1646I-BFMA
1Gb
64Mx16
1866Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B1G1646I-BHMA
1Gb
64Mx16
1866Mbps
1.35V
-40~105°C
96FBGA
MassProduction
K4B1G1646I-BMK0
1Gb
64Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B1G1646I-BMMA
1Gb
64Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B1G1646I-BYK0
1Gb
64Mx16
1600Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B1G1646I-BYMA
1Gb
64Mx16
1866Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B2G0846F-BCK0
2Gb
256Mx8
1600Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B2G0846F-BCMA
2Gb
256Mx8
1866Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B2G0846F-BCNB
2Gb
256Mx8
2133Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B2G0846F-BMK0
2Gb
256Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B2G0846F-BMMA
2Gb
256Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B2G0846F-BYK0
2Gb
256Mx8
1600Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B2G0846F-BYMA
2Gb
256Mx8
1866Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B2G0846F-BYNB
2Gb
256Mx8
2133Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B2G1646F-BCK0
2Gb
128Mx16
1600Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B2G1646F-BCMA
2Gb
128Mx16
1866Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B2G1646F-BCNB
2Gb
128Mx16
2133Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B2G1646F-BFMA
2Gb
128Mx16
1866Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B2G1646F-BHMA
2Gb
128Mx16
1866Mbps
1.35V
-40~105°C
96FBGA
MassProduction
K4B2G1646F-BMK0
2Gb
128Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B2G1646F-BMMA
2Gb
128Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B2G1646F-BYK0
2Gb
128Mx16
1600Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B2G1646F-BYMA
2Gb
128Mx16
1866Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G0846D-BCH9
4Gb
512Mx8
1333Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BCK0
4Gb
512Mx8
1600Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BCMA
4Gb
512Mx8
1866Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BCNB
4Gb
512Mx8
2133Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BMK0
4Gb
512Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B4G0846D-BMMA
4Gb
512Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B4G0846D-BYH9
4Gb
512Mx8
1333Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BYK0
4Gb
512Mx8
1600Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BYMA
4Gb
512Mx8
1866Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846D-BYNB
4Gb
512Mx8
2133Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846E-BCK0
4Gb
512Mx8
1600Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B4G0846E-BCMA
4Gb
512Mx8
1866Mbps
1.5V
0~85°C
78FBGA
MassProduction
K4B4G0846E-BMK0
4Gb
512Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B4G0846E-BMMA
4Gb
512Mx8
1600Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B4G0846E-BYK0
4Gb
512Mx8
1600Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846E-BYMA
4Gb
512Mx8
1866Mbps
1.35V
0~85°C
78FBGA
MassProduction
K4B4G0846R-BFMA
4Gb
512Mx8
1866Mbps
1.35V
-40~95°C
78FBGA
MassProduction
K4B4G0846R-BHMA
4Gb
512Mx8
1866Mbps
1.35V
-40~105°C
78FBGA
MassProduction
K4B4G1646D-BCH9
4Gb
256Mx16
1333Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BCK0
4Gb
256Mx16
1600Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BCMA
4Gb
256Mx16
1866Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BCNB
4Gb
256Mx16
2133Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BFMA
4Gb
256Mx16
1866Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B4G1646D-BHMA
4Gb
256Mx16
1866Mbps
1.35V
-40~105°C
96FBGA
MassProduction
K4B4G1646D-BMK0
4Gb
256Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B4G1646D-BMMA
4Gb
256Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B4G1646D-BYH9
4Gb
256Mx16
1333Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BYK0
4Gb
256Mx16
1600Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BYMA
4Gb
256Mx16
1866Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G1646D-BYNB
4Gb
256Mx16
2133Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G1646E-BCK0
4Gb
512Mx8
1600Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B4G1646E-BCMA
4Gb
512Mx8
1866Mbps
1.5V
0~85°C
96FBGA
MassProduction
K4B4G1646E-BMK0
4Gb
256Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B4G1646E-BMMA
4Gb
256Mx16
1600Mbps
1.35V
-40~95°C
96FBGA
MassProduction
K4B4G1646E-BYK0
4Gb
512Mx8
1600Mbps
1.35V
0~85°C
96FBGA
MassProduction
K4B4G1646E-BYMA
4Gb
512Mx8
1866Mbps
1.35V
0~85°C
96FBGA
MassProduction
Samsung DDR4
Part Number
Capacity
架构
Rate
VCC
Temperature
Package
Production
K4AAG085WA-BCWE
16Gb
2Gx8
3200Mbps
1.2V
0~85°C
78FBGA
Sample
K4AAG165WA-BCWE
16Gb
1Gx16
3200Mbps
1.2V
0~85°C
96FBGA
Sample
K4ABG085WA-MCWE
32Gb
4Gx8
3200Mbps
1.2V
0~85°C
78FBGA
Sample
K4ABG165WA-MCWE
32Gb
2Gx16
3200Mbps
1.2V
0~85°C
96FBGA
Sample
K4A4G085WF-BCTD
4Gb
512Mx8
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G085WF-BITD
4Gb
512Mx8
2666Mbps
1.2V
-40~95°C
78FBGA
Sample
K4A4G165WE-BCWE
4Gb
256Mx16
3200Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A4G165WF-BCTD
4Gb
256Mx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A4G165WF-BITD
4Gb
256Mx16
2666Mbps
1.2V
-40~95°C
96FBGA
Sample
K4A8G085WC-BCWE
8Gb
1Gx8
3200Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WC-BITD
8Gb
1Gx8
2666Mbps
1.2V
-40~95°C
78FBGA
MassProduction
K4A8G085WC-BIWE
8Gb
1Gx8
3200Mbps
1.2V
-40~95°C
78FBGA
MassProduction
K4A8G165WB-BCWE
8Gb
512Mx16
3200Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WC-BCWE
8Gb
512Mx16
3200Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WC-BITD
8Gb
512Mx16
2666Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A8G165WC-BIWE
8Gb
512Mx16
3200Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4AAG085WA-BCTD
16Gb
2Gx8
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4ABG085WA-MCTD
32Gb
4Gx8
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4ABG165WA-MCTD
32Gb
2Gx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4AAG085WB-MCPB
16Gb
2Gx8
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4AAG085WB-MCRC
16Gb
2Gx8
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4AAG165WA-BCTD
16Gb
1Gx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4AAG165WB-MCPB
16Gb
1Gx16
2133Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4AAG165WB-MCRC
16Gb
1Gx16
2400Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4AAG165WB-MCTD
16Gb
1Gx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A4G045WE-BCPB
4Gb
1Gx4
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G045WE-BCRC
4Gb
1Gx4
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G045WE-BCTD
4Gb
1Gx4
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G085WE-BCPB
4Gb
512Mx8
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G085WE-BCRC
4Gb
512Mx8
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G085WE-BCTD
4Gb
512Mx8
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A4G085WE-BIRC
4Gb
512Mx8
2400Mbps
1.2V
-40~95°C
78FBGA
MassProduction
K4A4G085WE-BITD
4Gb
512Mx8
2666Mbps
1.2V
-40~95°C
78FBGA
MassProduction
K4A4G165WE-BCPB
4Gb
256Mx16
2133Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A4G165WE-BCRC
4Gb
256Mx16
2400Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A4G165WE-BCTD
4Gb
256Mx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A4G165WE-BIRC
4Gb
256Mx16
2400Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A4G165WE-BITD
4Gb
256Mx16
2666Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A4G165WE-BIWE
4Gb
256Mx16
3200Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A8G045WB-BCPB
8Gb
2Gx4
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G045WB-BCRC
8Gb
2Gx4
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G045WB-BCTD
8Gb
2Gx4
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G045WC-BCPB
8Gb
2Gx4
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G045WC-BCRC
8Gb
2Gx4
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G045WC-BCTD
8Gb
2Gx4
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WB-BCPB
8Gb
1Gx8
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WB-BCRC
8Gb
1Gx8
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WB-BCTD
8Gb
1Gx8
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WB-BIRC
8Gb
1Gx8
2400Mbps
1.2V
-40~95°C
78FBGA
MassProduction
K4A8G085WB-BITD
8Gb
1Gx8
2666Mbps
1.2V
-40~95°C
78FBGA
MassProduction
K4A8G085WC-BCPB
8Gb
1Gx8
2133Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WC-BCRC
8Gb
1Gx8
2400Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G085WC-BCTD
8Gb
1Gx8
2666Mbps
1.2V
0~85°C
78FBGA
MassProduction
K4A8G165WB-BCPB
8Gb
512Mx16
2133Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WB-BCRC
8Gb
512Mx16
2400Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WB-BCTD
8Gb
512Mx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WB-BIRC
8Gb
512Mx16
2400Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A8G165WB-BITD
8Gb
512Mx16
2666Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A8G165WB-BIWE
8Gb
512Mx16
3200Mbps
1.2V
-40~95°C
96FBGA
MassProduction
K4A8G165WC-BCPB
8Gb
512Mx16
2133Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WC-BCRC
8Gb
512Mx16
2400Mbps
1.2V
0~85°C
96FBGA
MassProduction
K4A8G165WC-BCTD
8Gb
512Mx16
2666Mbps
1.2V
0~85°C
96FBGA
MassProduction
Samsung DDR5
Part Number
Apply
Capacity
架构
Rate
VCC
temperature
Package
Production
K4RAH086VB-BCWM
AI, Server, 5G & Connectivity
16 Gb
2G x 8
5600 Mbps
1.1 V
0 ~ 85 °C
82 FBGA
Mass Production
K4RAH086VB-BIQK
AI, Server, 5G & Connectivity
16 Gb
2G x 8
4800 Mbps
1.1 V
-40 ~ 95 °C
82 FBGA
Mass Production
K4RAH086VB-BIWM
AI, Server, 5G & Connectivity
16 Gb
2G x 8
5600 Mbps
1.1 V
-40 ~ 95 °C
82 FBGA
Mass Production
K4RAH086VP-BCWM
AI, Server, 5G & Connectivity, PC & Gaming
16 Gb
2G x 8
5600 Mbps
1.1 V
0 ~ 85 °C
82 FBGA
Mass Production
K4RAH165VB-BCWM
AI, Server, 5G & Connectivity
16 Gb
1G x 16
5600 Mbps
1.1 V
0 ~ 85 °C
106 FBGA
Mass Production
K4RAH165VB-BIQK
AI, Server, 5G & Connectivity
16 Gb
1G x 16
4800 Mbps
1.1 V
-40 ~ 95 °C
106 FBGA
Mass Production
K4RAH165VB-BIWM
AI, Server, 5G & Connectivity
16 Gb
1G x 16
5600 Mbps
1.1 V
-40 ~ 95 °C
106 FBGA
Mass Production
K4RAH165VP-BCWM
AI, Server, 5G & Connectivity, PC & Gaming
16 Gb
1G x 16
5600 Mbps
1.1 V
0 ~ 85 °C
106 FBGA
Mass Production
K4RHE086VB-BCWM
AI, Server, 5G & Connectivity, PC & Gaming
24 Gb
2G x 8
5600 Mbps
1.1 V
0 ~ 85 °C
82 FBGA
Mass Production
K4RHE165VB-BCWM
AI, Server, 5G & Connectivity, PC & Gaming
24 Gb
1G x 16
5600 Mbps
1.1 V
0 ~ 85 °C
106 FBGA
Mass Production
K4RCH046VM-2CLP
AI, Server, 5G & Connectivity
32 Gb
4G x 4
6400 Mbps
1.1 V
0 ~ 85 °C
78 FBGA
Sample
K4RBH046VM-BCCP
AI, Server, 5G & Connectivity
32 Gb
2G x 4
6400 Mbps
1.1 V
0 ~ 85 °C
78 FBGA
Sample
K4RCH046VM-2CCM
AI, Server, 5G & Connectivity
32 Gb
4G x 4
5600 Mbps
1.1 V
0 ~ 85 °C
78 FBGA
Sample
K4RBH046VM-BCWM
AI, Server, 5G & Connectivity
32 Gb
2G x 4
5600 Mbps
1.1 V
0 ~ 85 °C
78 FBGA
Sample
K4RAH086VB-BCQK
AI, Server, 5G & Connectivity
16 Gb
2G x 8
4800 Mbps
1.1 V
0 ~ 85 °C
82 FBGA
Mass Production
K4RAH165VB-BCQK
AI, Server, 5G & Connectivity
16 Gb
1G x 16
4800 Mbps
1.1 V
0 ~ 85 °C
106 FBGA

eMMC
MTFC128GAPALBH-AIT
128GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.1
Automotive
x8
MTFC128GAPALNS-AAT
128GB
TFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x1.2
Automotive
x8
MTFC128GAPALNS-AIT
128GB
TFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.2
Automotive
x8
MTFC128GAXAQEA
128GB
WFBGA
3.3V
5.1
-25C to +85C
(Empty)
(Empty)
(Empty)
x8
MTFC128GAZAQJP-AAT
128GB
VFBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC128GAZAQJP-AIT
128GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC128GAZAQJP-IT
128GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC16GAKAEDQ-AAT
16GB
LBGA
System.Object[]
5
-40C to +105C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC16GAKAEEF-AAT
16GB
TFBGA
System.Object[]
5
-40C to +105C
169-ball
14 x 18 x 1.2
Automotive
x8
MTFC16GAPALBH-AAT
16GB
TFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x1.1
Automotive
x8
MTFC16GAPALBH-AIT
16GB
TFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.1
Automotive
x8
MTFC16GAPALBH-IT
16GB
TFBGA
3.3V
5.1
-40C to +85C
153-ball
11.5 x 13 x 1.1
(Empty)
x8
MTFC16GAPALGT-AAT
16GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC16GAPALGT-AIT
16GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC16GAPALNA-AAT
16GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC16GAPALNA-AIT
16GB
TBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1.2
Automotive
x8
MTFC256GBCAQTC-AAT
256GB
LFBGA
3.3V
5.1
-40C to +105C
(Empty)
(Empty)
(Empty)
x8
MTFC32GAKAEDQ-AAT
32GB
LBGA
System.Object[]
5
-40C to +105C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC32GAKAEEF-AAT
32GB
TFBGA
System.Object[]
5
-40C to +105C
169-ball
14 x 18 x 1.2
Automotive
x8
MTFC32GAPALBH-IT
32GB
TFBGA
3.3V
5.1
-40C to +85C
153-ball
11.5 x 13 x 1.1
(Empty)
x8
MTFC32GAPALGT-AAT
32GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC32GAPALGT-AIT
32GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC32GAPALHT-AIT
32GB
VBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1
Automotive
x8
MTFC32GAPALNA-AAT
32GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC32GAPALNA-AIT
32GB
TBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1.2
Automotive
x8
MTFC32GAZAQDW-AAT
32GB
LBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-AAT
32GB
VFBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-AIT
32GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-IT
32GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-WT
32GB
VFBGA
2.7V-3.6V
5.1
-25C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC4GLGDQ-AIT A
32GB
LBGA
3.3V
4.41
-40C to +85C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC4GLWDM-4M AAT A
32GB
TFBGA
3.3V
4.51
-40C to +105C
153-ball
(Empty)
Automotive
x8
MTFC64GAPALGT-AAT
64GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC64GAPALGT-AIT
64GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC64GAPALHT-AIT
64GB
VBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1
Automotive
x8
MTFC64GAPALNA-AAT
64GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC64GAXAQEA-WT
512GB
WFBGA
3.3V
5.1
-25C to +85C
(Empty)
(Empty)
(Empty)
x8
MTFC64GAZAQHD-AAT
64GB
VFBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC64GAZAQHD-AIT
64GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC64GAZAQHD-IT
64GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC64GAZAQHD-WT
64GB
VFBGA
2.7V-3.6V
5.1
-25C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC8GACAEDQ-AAT
8GB
LBGA
System.Object[]
5
-40C to +105C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC8GACAENS-AAT
8GB
TFBGA
System.Object[]
5
-40C to +105C
153-ball
11.5 x 13 x 1.2
Automotive
x8
MTFC8GAMALBH-AAT
8GB
TFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x1.1
Automotive
x8
MTFC8GAMALBH-AIT
8GB
TFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.1
Automotive
x8
MTFC8GAMALBH-IT
8GB
TFBGA
3.3V
5.1
-40C to +85C
153-ball
(Empty)
Automotive
x8
MTFC8GAMALGT-AAT
8GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC8GAMALGT-AIT
8GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC8GAMALHT-AAT
8GB
VBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
18x14x1
Automotive
x8
MTFC8GAMALHT-AIT
8GB
VBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
18x14x1
Automotive
x8
MTFC8GAMALNA-AAT
8GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC8GAMALNA-AIT
8GB
TBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1.2
Automotive
x8
MTFC128GAPALBH-AIT
128GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.1
Automotive
x8
MTFC128GAPALNS-AAT
128GB
TFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x1.2
Automotive
x8
MTFC128GAPALNS-AIT
128GB
TFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.2
Automotive
x8
MTFC128GAZAQJP-AAT
128GB
VFBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC128GAZAQJP-AIT
128GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC128GAZAQJP-IT
128GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC16GAKAEDQ-AAT
16GB
LBGA
System.Object[]
5
-40C to +105C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC16GAKAEEF-AAT
16GB
TFBGA
System.Object[]
5
-40C to +105C
169-ball
14 x 18 x 1.2
Automotive
x8
MTFC16GAPALBH-AAT
16GB
TFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x1.1
Automotive
x8
MTFC16GAPALBH-AIT
16GB
TFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.1
Automotive
x8
MTFC16GAPALGT-AAT
16GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC16GAPALGT-AIT
16GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC16GAPALNA-AAT
16GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC16GAPALNA-AIT
16GB
TBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1.2
Automotive
x8
MTFC32GAKAEDQ-AAT
32GB
LBGA
System.Object[]
5
-40C to +105C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC32GAKAEEF-AAT
32GB
TFBGA
System.Object[]
5
-40C to +105C
169-ball
14 x 18 x 1.2
Automotive
x8
MTFC32GAPALGT-AAT
32GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC32GAPALGT-AIT
32GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC32GAPALHT-AIT
32GB
VBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1
Automotive
x8
MTFC32GAPALNA-AAT
32GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC32GAPALNA-AIT
32GB
TBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1.2
Automotive
x8
MTFC32GAZAQDW-AAT
32GB
LBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-AAT
32GB
VFBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-AIT
32GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-IT
32GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC32GAZAQHD-WT
32GB
VFBGA
2.7V-3.6V
5.1
-25C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC4GLGDQ-AIT A
32GB
LBGA
3.3V
4.41
-40C to +85C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC4GLWDM-4M AAT A
32GB
TFBGA
3.3V
4.51
-40C to +105C
153-ball
(Empty)
Automotive
x8
MTFC64GAPALGT-AAT
64GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC64GAPALGT-AIT
64GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC64GAPALHT-AIT
64GB
VBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1
Automotive
x8
MTFC64GAPALNA-AAT
64GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC64GAZAQHD-AAT
64GB
VFBGA
2.7V-3.6V
5.1
-40C to +105C
(Empty)
(Empty)
Automotive
x8
MTFC64GAZAQHD-AIT
64GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC64GAZAQHD-IT
64GB
VFBGA
2.7V-3.6V
5.1
-40C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC64GAZAQHD-WT
64GB
VFBGA
2.7V-3.6V
5.1
-25C to +85C
(Empty)
(Empty)
Automotive
x8
MTFC8GACAEDQ-AAT
8GB
LBGA
System.Object[]
5
-40C to +105C
100-ball
14 x 18 x 1.4
Automotive
x8
MTFC8GACAENS-AAT
8GB
TFBGA
System.Object[]
5
-40C to +105C
153-ball
11.5 x 13 x 1.2
Automotive
x8
MTFC8GAMALBH-AAT
8GB
TFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x1.1
Automotive
x8
MTFC8GAMALBH-AIT
8GB
TFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x1.1
Automotive
x8
MTFC8GAMALBH-IT
8GB
TFBGA
3.3V
5.1
-40C to +85C
153-ball
(Empty)
Automotive
x8
MTFC8GAMALGT-AAT
8GB
WFBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
13x11.5x0.8
Automotive
x8
MTFC8GAMALGT-AIT
8GB
WFBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
13x11.5x0.8
Automotive
x8
MTFC8GAMALHT-AAT
8GB
VBGA
2.7V-3.6V
5.1
-40C to +105C
153-ball
18x14x1
Automotive
x8
MTFC8GAMALHT-AIT
8GB
VBGA
2.7V-3.6V
5.1
-40C to +85C
153-ball
18x14x1
Automotive
x8
MTFC8GAMALNA-AAT
8GB
TBGA
2.7V-3.6V
5.1
-40C to +105C
100-ball
18x14x1.2
Automotive
x8
MTFC8GAMALNA-AIT
8GB
TBGA
2.7V-3.6V
5.1
-40C to +85C
100-ball
18x14x1.2
Automotive
x8
MCP
MT29AZ5A3CHHWD-18AAT
4Gb
(Empty)
LPDDR2
2Gb
x8
x32
1.8V
VFBGA
162-ball
MT29AZ5A3CHHWD-18AIT
4Gb
(Empty)
LPDDR2
2Gb
x8
x32
1.8V
VFBGA
162-ball
MT29C1G12MAAJVAMD-5 IT
1Gb
(Empty)
LPDDR
512Mb
x8
x16
1.7V-1.9V
VFBGA
130-ball
MT29C2G24MAAAAKAKD-5 IT
2Gb
(Empty)
LPDDR
1Gb
x8
x32
1.7V-1.9V
TFBGA
137-ball
MT29C2G24MAAAAKAMD-5 IT
2Gb
(Empty)
LPDDR
1Gb
x8
x32
1.7V-1.9V
VFBGA
130-ball
MT29C2G24MAABAHAMD-5 IT
2Gb
(Empty)
LPDDR
1Gb
x16
x16
1.7V-1.9V
VFBGA
130-ball
MT29C4G48MAAGBBAKS-48 IT
4Gb
(Empty)
LPDDR
2Gb
x8
x32
1.7V-1.9V
VFBGA
137-ball
MT29C4G48MAYBBAKS-48 IT
4Gb
(Empty)
LPDDR
2Gb
x8
x16
1.7V-1.9V
VFBGA
137-ball
MT29C4G48MAYBBAMR-48 IT
4Gb
(Empty)
LPDDR
2Gb
x8
x32
1.7V-1.9V
VFBGA
130-ball
MT29C4G48MAZBBAKB-48 IT
4Gb
(Empty)
LPDDR
2Gb
x16
x16
1.7V-1.9V
WFBGA
168-ball
MT29C4G48MAZBBAKS-48 IT
4Gb
(Empty)
LPDDR
2Gb
x16
x32
1.7V-1.9V
VFBGA
137-ball
MT29GZ5A3BPGGA-046IT
4Gb
(Empty)
(Empty)
2Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ5A3BPGGA-53IT
4Gb
(Empty)
(Empty)
(Empty)
(Empty)
(Empty)
(Empty)
(Empty)
(Empty)
MT29GZ5A5BPGGA-046AAT
4Gb
(Empty)
(Empty)
(Empty)
x16
x32
1.8V
WFBGA
(Empty)
MT29GZ5A5BPGGA-046AIT
4Gb
(Empty)
(Empty)
(Empty)
x16
x32
1.8V
WFBGA
(Empty)
MT29GZ5A5BPGGA-046IT
4Gb
(Empty)
(Empty)
(Empty)
x16
x32
1.8V
WFBGA
(Empty)
MT29GZ5A5BPGGA-53AAT
4Gb
(Empty)
LPDDR4
4Gb
x8
x32
1.8V
WFBGA
149-ball
MT29GZ5A5BPGGA-53AIT
4Gb
(Empty)
(Empty)
(Empty)
x8
x32
1.8V
(Empty)
(Empty)
MT29GZ5A5BPGGA-53IT
4Gb
(Empty)
LPDDR4
4Gb
x8
x32
1.8V
WFBGA
149-ball
MT29GZ6A6BPIET-046AAT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ6A6BPIET-046AIT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ6A6BPIET-046IT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ6A6BPIET-53AAT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ6A6BPIET-53AAT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ6A6BPIET-53AIT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29GZ6A6BPIET-53IT
8Gb
(Empty)
(Empty)
8Gb
x16
(Empty)
(Empty)
VFBGA
(Empty)
MT29RZ1C1CZZHGTN-18I
1Gb
(Empty)
LPDDR2
512Mb
x8
x16
1.8V
WFBGA
121-ball
MT29RZ1CVCZZHGTN-18 I
1Gb
(Empty)
LPDDR2
512Mb
x16
x16
1.8V
WFBGA
121-ball
MT29RZ4B2DZZHHTB-18I
4Gb
(Empty)
LPDDR2
2Gb
x32
x32
1.8V
VFBGA
162-ball
MT29RZ4B2DZZHHTB-18W
4Gb
(Empty)
LPDDR2
2Gb
x32
x32
1.8V
VFBGA
162-ball
MT29RZ4B2DZZHHWD-18I
4Gb
(Empty)
LPDDR2
2Gb
x32
x32
1.8V
VFBGA
162-ball
MT29RZ4B4DZZMGWD-18I
4Gb
(Empty)
LPDDR2
4Gb
x8
x32
1.8V
VFBGA
162-ball
MT29V5D7GVESL-046I
256GB
(Empty)
(Empty)
16Gb
x32
(Empty)
(Empty)
VFBGA
(Empty)
MT29VZZZ5D8JQFSL-053
64Gb
(Empty)
(Empty)
(Empty)
x32
x16
(Empty)
VFBGA
254-ball
MT29VZZZ7D8FQFSL-046 W
64GB
UFS 2.1
LPDDR4x
24Gb
x32
x32
1.8V
VFBGA
254-ball
MT29VZZZ7D8GUFSL-046
536Gb
(Empty)
(Empty)
(Empty)
x16
x16
(Empty)
(Empty)
(Empty)
MT29VZZZAD81SFSL-046
64GB
UFS 2.2
LPDDR4x
32Gb
x32
x16
(Empty)
(Empty)
(Empty)
MT29VZZZAD8FQFSL-046 W
64GB
UFS 2.1
LPDDR4x
32Gb
x32
x32
1.8V
VFBGA
254-ball
MT29VZZZAD8GQFSL-046
256Gb
(Empty)
(Empty)
32Gb
x32
x16
(Empty)
(Empty)
254-ball
MT29VZZZAD8GUFSL-046
544Gb
(Empty)
(Empty)
(Empty)
x16
x16
(Empty)
(Empty)
(Empty)
MT29VZZZAD9FQFSM-046 W
128GB
UFS 2.1
LPDDR4x
32Gb
x32
x32
(Empty)
VFBGA
254-ball
MT29VZZZAD9GQFSM-046
256Gb
(Empty)
(Empty)
32Gb
x32
x16
(Empty)
VFBGA
254-ball
MT29VZZZBD8FQKSM-046 W
64GB
UFS 2.1
LPDDR4x
48Gb
x32
x32
1.8V
VFBGA
254-ball
MT29VZZZBD91SLSM-046
128GB
UFS 2.2
LPDDR4x
48Gb
x16,x32
x16
(Empty)
(Empty)
(Empty)
MT29VZZZBD9FQKPR-046 W
128GB
UFS 2.1
LPDDR4x
48Gb
x32
x32
1.8V
TFBGA
254-ball
MT29VZZZBDA1SLPR-046
256GB
UFS 2.2
LPDDR4x
48Gb
x16,x32
x16
(Empty)
(Empty)
(Empty)
MT29VZZZBDAFQKBA-046 W
256GB
UFS 2.1
LPDDR4x
48Gb
x32
x32
1.8V
TFBGA
254-ball
MT29VZZZBDAFQKWL-046 W
256GB
UFS 2.1
LPDDR4x
48Gb
x32
x32
1.8V
TFBGA
254-ball
MT29VZZZCD91SFSM-046
128GB
UFS 2.2
LPDDR4x
32Gb
x32
x16
(Empty)
(Empty)
(Empty)
MT29VZZZCD91SKSM-046
128GB
UFS 2.2
LPDDR4x
64Gb
x16
x16
(Empty)
(Empty)
(Empty)
MT29VZZZCD9FQKPR-046 W
128GB
UFS 2.1
LPDDR4x
64Gb
x32
x32
1.8V
TFBGA
254-ball
MT29VZZZCD9GQKPR-046
256Gb
(Empty)
(Empty)
64Gb
x16
x16
(Empty)
TFBGA
(Empty)
MT29VZZZCDA1SKPR-046
256GB
UFS 2.2
LPDDR4x
64Gb
x16
x16
(Empty)
(Empty)
(Empty)
MT29VZZZCDAFQKBA-046 W
256GB
UFS 2.1
LPDDR4x
64Gb
x32
x32
1.8V
TFBGA
254-ball
MT29VZZZCDAFQKWL-046 W
256GB
UFS 2.1
LPDDR4x
64Gb
x32
x32
1.8V
TFBGA
254-ball
MT30AZZZCD9ZTOQS-031 W
128GB
UFS 3.1
LPDDR5
64Gb
x32
x32
1.8V
TFBGA
297-ball
MT30AZZZCDAZTOWL-031 W
256GB
UFS 3.1
LPDDR5
64Gb
x32
x32
1.8V
TFBGA
297-ball
MT30AZZZDD9ZTPWL-031 W
128GB
UFS 3.1
LPDDR5
96Gb
x32
x32
1.8V
TFBGA
297-ball
MT30AZZZDDAZTPEQ-031 W
256GB
UFS 3.1
LPDDR5
96Gb
x32
x32
1.8V
LFBGA
297-ball
3D NAND
MT29F128G08CBCEBJ4-37ITR
128Gb
Mass Storage
MLC
(Empty)
-40C to +85C
3.3V
VBGA
132-ball
533 MT/s
MT29F16T08EWLCHD6-T
16Tb
3D NAND
TLC
FortisMax
0C to +70C
(Empty)
LFBGA
(Empty)
(Empty)
MT29F1T08EBLCHD4-R
1Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VFBGA
(Empty)
(Empty)
MT29F1T08EBLCHD4-T
1Tb
3D NAND
TLC
FortisMax
0C to +70C
(Empty)
VFBGA
(Empty)
(Empty)
MT29F1T08EEHAFJ4-3R
1Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F1T08EEHAFJ4-3T
1Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F1T08EEHBFJ4-R
1Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
MT29F1T08EEHBFJ4-T
1Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
MT29F1T08EELCEJ4-R
1Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VBGA
132-ball
1200 MT/s
MT29F1T08EELEEJ4-R
1Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
MT29F1T08EELEEJ4-T
1Tb
3D NAND
TLC
FortisMax
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
MT29F1T08EMHAFJ4-3R
1Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F256G08CECEBJ4-37ITR
256Gb
Mass Storage
SLC
(Empty)
-40C to +85C
3.3V
VBGA
132-ball
533 MT/s
MT29F256G08EBCAGB16A3WC1
256Gb
3D NAND
TLC
(Empty)
0C to +70C
3.3V
Wafer
(Empty)
(Empty)
MT29F256G08EBHAFJ4-3R
256Gb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F2T08EELCHD4-R
2Tb
3D NAND
TLC
FortisFlash
0C to +70C
(Empty)
(Empty)
(Empty)
(Empty)
MT29F2T08EELCHD4-T
2Tb
3D NAND
TLC
FortisMax
0C to +70C
(Empty)
VFBGA
(Empty)
(Empty)
MT29F2T08EMHAFJ4-3R
2Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F2T08EMHAFJ4-3T
2Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F2T08EMHBFJ4-R
2Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
MT29F2T08EMHBFJ4-T
2Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
MT29F2T08EMLCEJ4-R
2Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VBGA
132-ball
1200 MT/s
MT29F2T08EMLEEJ4-R
2Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
MT29F2T08EMLEEJ4-T
2Tb
3D NAND
TLC
FortisMax
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
MT29F4T08EMLCHD4-R
4Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VFBGA
(Empty)
(Empty)
MT29F4T08EMLCHD4-T
4Tb
3D NAND
TLC
FortisMax
0C to +70C
(Empty)
VFBGA
(Empty)
(Empty)
MT29F4T08EUHAFM4-3R
4Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
MT29F4T08EUHAFM4-3T
4Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
MT29F4T08EUHBFM4-R
4Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
LBGA
132-ball
800 MT/s
MT29F4T08EUHBFM4-T
4Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
LBGA
132-ball
800 MT/s
MT29F4T08EULCEM4-R
4Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
LBGA
132-ball
1200 MT/s
MT29F4T08EULEEM4-R
4Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
MT29F4T08EULEEM4-T
4Tb
3D NAND
TLC
FortisMax
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
MT29F512G08CMCEBJ4-37ITR
512Gb
Mass Storage
MLC
(Empty)
-40C to +85C
3.3V
VBGA
132-ball
533 MT/s
MT29F512G08EBHAFB17A3WC1
512Gb
3D NAND
TLC
(Empty)
0C to +70C
3.3V
Wafer
(Empty)
(Empty)
MT29F512G08EBHAFJ4-3R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F512G08EBHAFJ4-3T
512Gb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F512G08EBHBFB27A3WC1-R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
Wafer
(Empty)
(Empty)
MT29F512G08EBHBFJ4-R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
MT29F512G08EBHBFJ4-T
512Gb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
MT29F512G08EBLCEB27B3WC1-R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
Wafer
(Empty)
(Empty)
MT29F512G08EBLCEJ4-R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VBGA
132-ball
1200 MT/s
MT29F512G08EBLEEB47R3WC1-R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
(Empty)
(Empty)
(Empty)
MT29F512G08EBLEEJ4-R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
MT29F512G08EBLEEJ4-T
512Gb
3D NAND
TLC
FortisMax
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
MT29F512G08EEHAFJ4-3R
512Gb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
MT29F8T08EULCHD5-R
8Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
LFBGA
(Empty)
(Empty)
MT29F8T08EULCHD5-T
8Tb
3D NAND
TLC
FortisMax
0C to +70C
(Empty)
LFBGA
(Empty)
(Empty)
MT29F8T08EWHAFJ6-3R
8Tb
3D NAND
TLC
FortisFlash
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
MT29F8T08EWHAFJ6-3T
8Tb
3D NAND
TLC
FortisMax
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
MT29F8T08EWLEEM5-R
8Tb
3D NAND
TLC
FortisFlash
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
MT29F8T08EWLEEM5-T
8Tb
3D NAND
TLC
FortisMax
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
MLC-NAND
MT29E1T08CUCCBH8-6
1Tb
2D
0C to +70C
3.3V
LBGA
152-ball
x8
333 MT/s
(Empty)
MT29E2T08CTCCBJ7-6
2Tb
2D
0C to +70C
3.3V
LBGA
152-ball
x8
333 MT/s
(Empty)
MT29E512G08CKCCBH7-6
512Gb
2D
0C to +70C
3.3V
TBGA
152-ball
x8
333 MT/s
(Empty)
MT29F128G08CBCEBJ4-37ITR
128Gb
3D
-40C to +85C
3.3V
VBGA
132-ball
x8
533 MT/s
(Empty)
MT29F128G08CFABBWP-12IT
128Gb
2D
-40C to +85C
3.3V
TSOP
48-pin
x8
166 MT/s
(Empty)
MT29F16G08CBACAWP
16Gb
2D
0C to +70C
3.3V
TSOP
48-pin
x8
(Empty)
(Empty)
MT29F32G08CBACAWP-Z
32Gb
2D
0C to +70C
3.3V
TSOP
48-pin
x8
(Empty)
(Empty)
MT29F32G08CBADAL83A3WC1
32Gb
2D
0C to +70C
3.3V
Die
n/a
x8
(Empty)
(Empty)
MT29F32G08CBEDBL83A3WC1
32Gb
2D
0C to +70C
3.3V
Die
n/a
x8
(Empty)
(Empty)
MT29F512G08CMCEBJ4-37ITR
512Gb
3D
-40C to +85C
3.3V
VBGA
132-ball
x8
533 MT/s
(Empty)
MT29F64G08CBABAL84A3WC1
64Gb
2D
0C to +70C
3.3V
Wafer
n/a
x8
n/a
(Empty)
MT29F64G08CBABBWP-12IT
64Gb
2D
-40C to +85C
3.3V
TSOP
48-pin
x8
166 MT/s
(Empty)
MT29F64G08CBEBBL84A3WC1
64Gb
2D
0C to +70C
3.3V
Wafer
n/a
x8
n/a
(Empty)
SLC NAND
MT29F1G01AAADDH4-ITX
1Gb
x1
3.3V
VFBGA
63-ball
SLC
-40C to +85C
MT29F1G01ABAFD12-AAT
1Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +105C
MT29F1G01ABAFD12-IT
1Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +85C
MT29F1G01ABAFDSF-AAT
1Gb
x1
3.3V
SOIC
16-pin
SLC
-40C to +105C
MT29F1G01ABAFDWB-IT
1Gb
x1
3.3V
U-PDFN-8
8-pin
SLC
-40C to +85C
MT29F1G01ABBFD12-AAT
1Gb
x1
1.8V
TBGA
24-ball
SLC
-40C to +105C
MT29F1G01ABBFDWB-IT
1Gb
x1
1.8V
U-PDFN-8
8-pin
SLC
-40C to +85C
MT29F2G01ABAGD12-AAT
2Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +105C
MT29F2G01ABAGD12-IT
2Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +85C
MT29F2G01ABAGDM79A3WC1
2Gb
x1
3.3V
Wafer
n/a
SLC
0C to +70C
MT29F2G01ABAGDWB-IT
2Gb
x1
3.3V
U-PDFN-8
8-pin
SLC
-40C to +85C
MT29F2G01ABBGD12-AAT
2Gb
x1
1.8V
TBGA
24-ball
SLC
-40C to +105C
MT29F2G01ABBGD12-AATES
2Gb
x1
1.8V
TBGA
24-ball
SLC
-40C to +105C
MT29F2G01ABBGDM79A3WC1
2Gb
x1
1.8V
Wafer
n/a
SLC
0C to +70C
MT29F2G01ABBGDWB-IT
2Gb
x1
1.8V
U-PDFN-8
8-pin
SLC
-40C to +85C
MT29F2G01ABBGDWB-IT
2Gb
x1
1.8V
U-PDFN-8
8-pin
SLC
-40C to +85C
MT29F4G01AAADDHC-ITX
4Gb
x1
3.3V
VFBGA
63-ball
SLC
-40C to +85C
MT29F4G01ABAFD12-AAT
4Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +105C
MT29F4G01ABAFD12-IT
4Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +85C
MT29F4G01ABAFDWB-IT
4Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +85C
MT29F4G01ABBFD12-AAT
4Gb
x1
1.8V
TBGA
(Empty)
SLC
-40C to +105C
MT29F4G01ABBFD12-IT
4Gb
x1
1.8V
TBGA
(Empty)
SLC
-40C to +85C
MT29F4G01ABBFDWB-IT
4Gb
x1
1.8V
U-PDFN-8
(Empty)
SLC
-40C to +85C
MT29F8G01ADAFD12-AAT
8Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +105C
MT29F8G01ADAFD12-IT
8Gb
x1
3.3V
TBGA
24-ball
SLC
-40C to +85C
MT29F8G01ADBFD12-AAT
8Gb
x1
1.8V
TSOP
24-ball
SLC
-40C to +105C
MT29F8G01ADBFD12-IT
8Gb
x1
1.8V
TSOP
24-ball
SLC
-40C to +85C
MT29F128G08AECBBH6-6IT
128Gb
x8
3.3V
VBGA
152-ball
333 MT/s
-40C to +85C
MT29F128G08AJAAAWP-ITZ
128Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F128G08AJAAAWP-Z
128Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F128G08AKCABH2-10
128Gb
x8
3.3V
TBGA
100-ball
200 MT/s
0C to +70C
MT29F128G08AKCABH2-10IT
128Gb
x8
3.3V
TBGA
100-ball
200 MT/s
-40C to +85C
MT29F128G08AMCABH2-10ITZ
128Gb
x8
3.3V
TBGA
100-ball
200 MT/s
-40C to +85C
MT29F128G08AMCABJ2-10Z
128Gb
x8
3.3V
TBGA
132-ball
200 MT/s
0C to +70C
MT29F128G08AMCDBJ5-6
128Gb
x8
3.3V
TBGA
132-ball
333 MT/s
0C to +70C
MT29F16G08ABABAM62B3WC1
16Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F16G08ABABAWP-AIT
16Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F16G08ABABAWP-IT
16Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F16G08ABACAM72A3WC1
16Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F16G08ABACAWP
16Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F16G08ABACAWP-ITZ
16Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F16G08ABACAWP-Z
16Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F16G08ABCBBH1-12AIT
16Gb
x8
3.3V
VBGA
100-ball
166 MT/s
-40C to +85C
MT29F16G08ABCBBM62B3WC1
16Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F16G08ABCCBH1-10ITZ
16Gb
x8
3.3V
VBGA
100-ball
200 MT/s
-40C to +85C
MT29F16G08ABECBM72A3WC1
16Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F16G08ADBCAH4
16Gb
x8
1.8V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F16G08AJADAWP-IT
16Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G01AAADDH4-ITX
1Gb
x1
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G01ABAFD12-AAT
1Gb
x1
3.3V
TBGA
24-ball
(Empty)
-40C to +105C
MT29F1G01ABAFD12-IT
1Gb
x1
3.3V
TBGA
24-ball
(Empty)
-40C to +85C
MT29F1G01ABAFDSF-AAT
1Gb
x1
3.3V
SOIC
16-pin
(Empty)
-40C to +105C
MT29F1G01ABAFDWB-IT
1Gb
x1
3.3V
U-PDFN-8
8-pin
(Empty)
-40C to +85C
MT29F1G01ABBFD12-AAT
1Gb
x1
1.8V
TBGA
24-ball
(Empty)
-40C to +105C
MT29F1G01ABBFDWB-IT
1Gb
x1
1.8V
U-PDFN-8
8-pin
(Empty)
-40C to +85C
MT29F1G08ABADAH4
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F1G08ABADAH4-IT
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABADAH4-ITX
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABADAWP
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F1G08ABADAWP-IT
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G08ABADAWP-ITX
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G08ABAEAH4
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F1G08ABAEAH4-AATX
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G08ABAEAH4-AITX
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABAEAH4-ITX
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABAEAM68M3WC1
1Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F1G08ABAEAWP
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F1G08ABAEAWP-AATX
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F1G08ABAEAWP-AITX
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G08ABAEAWP-IT
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G08ABAEAWP-ITX
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G08ABAFAH4-AAT
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G08ABAFAH4-AATES
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G08ABAFAH4-ITE
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABAFAM78A3WC1
1Gb
x8
3.3V
Die
n/a
(Empty)
(Empty)
MT29F1G08ABAFAM78A3WC1L
1Gb
x8
3.3V
Die
n/a
(Empty)
(Empty)
MT29F1G08ABAFAWP-AAT
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F1G08ABAFAWP-AATES
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F1G08ABAFAWP-ITE
1Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F1G08ABBDAH4
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F1G08ABBDAH4-ITX
1Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABBDAHC-IT
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABBEAH4-AITX
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABBEAH4-IT
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABBEAH4-ITX
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G08ABBEAM68M3WC1
1Gb
x8
1.8V
Wafer
n/a
(Empty)
0C to +70C
MT29F1G08ABBFAH4-AAT
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G08ABBFAH4-AATES
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G08ABBFAH4-ITE
1Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G16ABBDAH4-ITX
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G16ABBDAHC-IT
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G16ABBEAH4-AITX
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G16ABBEAH4-ITX
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F1G16ABBFAH4-AAT
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G16ABBFAH4-AATES
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F1G16ABBFAH4-IT
1Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F256G08AMCBBH7-6IT
256Gb
x8
3.3V
TBGA
152-ball
333 MT/s
-40C to +85C
MT29F256G08AMEBBH7-12
256Gb
x8
3.3V
TBGA
152-ball
166 MT/s
0C to +70C
MT29F256G08AUCABH3-10ITZ
256Gb
x8
3.3V
LBGA
100-ball
200 MT/s
-40C to +85C
MT29F256G08AUCABH3-10Z
256Gb
x8
3.3V
LBGA
100-ball
200 MT/s
0C to +70C
MT29F256G08AUCABJ3-10Z
256Gb
x8
3.3V
LBGA
132-ball
200 MT/s
0C to +70C
MT29F2G01ABAGD12-AAT
2Gb
x1
3.3V
TBGA
24-ball
(Empty)
-40C to +105C
MT29F2G01ABAGD12-IT
2Gb
x1
3.3V
TBGA
24-ball
(Empty)
-40C to +85C
MT29F2G01ABAGDM79A3WC1
2Gb
x1
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F2G01ABAGDSF-IT
2Gb
x1/x2/x4
3.3V
SOIC
16-pin
(Empty)
-40C to +85C
MT29F2G01ABAGDWB-IT
2Gb
x1
3.3V
U-PDFN-8
8-pin
(Empty)
-40C to +85C
MT29F2G01ABBGD12-AAT
2Gb
x1
1.8V
TBGA
24-ball
(Empty)
-40C to +105C
MT29F2G01ABBGD12-AATES
2Gb
x1
1.8V
TBGA
24-ball
(Empty)
-40C to +105C
MT29F2G01ABBGDM79A3WC1
2Gb
x1
1.8V
Wafer
n/a
(Empty)
0C to +70C
MT29F2G01ABBGDWB-IT
2Gb
x1
1.8V
U-PDFN-8
8-pin
(Empty)
-40C to +85C
MT29F2G01ABBGDWB-IT
2Gb
x1
1.8V
U-PDFN-8
8-pin
(Empty)
-40C to +85C
MT29F2G08ABAEAH4
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F2G08ABAEAH4-AATX
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F2G08ABAEAH4-AITX
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAEAH4-IT
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAEAH4-ITX
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAEAWP
2Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F2G08ABAEAWP-AATX
2Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F2G08ABAEAWP-AITX
2Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G08ABAEAWP-IT
2Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G08ABAEAWP-ITX
2Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G08ABAGAH4-AAT
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F2G08ABAGAH4-AATES
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F2G08ABAGAH4-AIT
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAGAH4-AITES
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAGAH4-IT
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAGAH4-ITE
2Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABAGAM79A3WC1
2Gb
x8
3.3V
Wafer
(Empty)
(Empty)
(Empty)
MT29F2G08ABAGAWP-AAT
2Gb
x8
3.3V
TSOP
(Empty)
(Empty)
(Empty)
MT29F2G08ABAGAWP-AATES
2Gb
x8
3.3V
TSOP
(Empty)
(Empty)
(Empty)
MT29F2G08ABAGAWP-AIT
2Gb
x8
3.3V
TSOP
(Empty)
(Empty)
(Empty)
MT29F2G08ABAGAWP-AITES
2Gb
x8
3.3V
TSOP
(Empty)
(Empty)
(Empty)
MT29F2G08ABAGAWP-IT
2Gb
x8
3.3V
TSOP
48-ball
(Empty)
-40C to +85C
MT29F2G08ABAGAWP-ITE
2Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G08ABBEAH4
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F2G08ABBEAH4-AITX
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABBEAH4-IT
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABBEAH4-ITX
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABBEAHC-IT
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABBGAH4-AAT
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F2G08ABBGAH4-AATES
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F2G08ABBGAH4-IT
2Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G08ABBGAM79A3WC
2Gb
x8
1.8V
Wafer
(Empty)
(Empty)
(Empty)
MT29F2G16AABWP-ET
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G16ABAEAWP-AAT
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G16ABAEAWP-AIT
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G16ABAGAWP-AAT
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F2G16ABAGAWP-AATES
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F2G16ABAGAWP-AIT
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G16ABAGAWP-AITES
2Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F2G16ABBEAH4-AAT
2Gb
x16
1.8V
VFBGA
63-ball
(Empty)
0C to +85C
MT29F2G16ABBEAH4-IT
2Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G16ABBEAHC-AIT
2Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G16ABBGAH4-AATES
2Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F2G16ABBGAH4-AIT
2Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F2G16ABBGAH4-AITES
2Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F32G08ABAAAM73A3WC1
32Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F32G08ABAAAWP-ITZ
32Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F32G08ABAAAWP-Z
32Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F32G08ABCABH1-10ITZ
32Gb
x8
3.3V
VBGA
100-ball
200 MT/s
-40C to +85C
MT29F32G08ABCABH1-10Z
32Gb
x8
3.3V
VBGA
100-ball
200 MT/s
0C to +70C
MT29F32G08ABCDBJ4-6
32Gb
x8
3.3V
VBGA
132-ball
333 MT/s
0C to +70C
MT29F32G08ABEABM73A3WC1
32Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F32G08AFABAWP-IT
32Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F32G08AFACAWP-Z
32Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F4G01AAADDHC-ITX
4Gb
x1
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G01ABAFD12-AAT
4Gb
x1
3.3V
TBGA
24-ball
166 MT/s
-40C to +105C
MT29F4G01ABAFD12-AUT
4Gb
x1
3.3V
TBGA
24-ball
166 MT/s
-40C to +105C
MT29F4G01ABAFD12-IT
4Gb
x1
3.3V
TBGA
24-ball
166 MT/s
-40C to +85C
MT29F4G01ABAFDWB-IT
4Gb
x1
3.3V
TBGA
24-ball
166 MT/s
-40C to +85C
MT29F4G01ABBFD12-AAT
4Gb
x1
1.8V
TBGA
(Empty)
(Empty)
-40C to +105C
MT29F4G01ABBFD12-AUT
4Gb
x1
1.8V
TBGA
(Empty)
(Empty)
-40C to +125C
MT29F4G01ABBFD12-IT
4Gb
x1
1.8V
TBGA
(Empty)
(Empty)
-40C to +85C
MT29F4G01ABBFDWB-IT
4Gb
x1
1.8V
U-PDFN-8
(Empty)
(Empty)
-40C to +85C
MT29F4G01ADAGDWB-IT
4Gb
x1/x2/x4
3.3V
U-PDFN-8
8-pin
(Empty)
-40C to +85C
MT29F4G08ABADAH4
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F4G08ABADAH4-AATX
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F4G08ABADAH4-AITX
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABADAH4-IT
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABADAH4-ITX
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABADAWP
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F4G08ABADAWP-AATX
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F4G08ABADAWP-AITX
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G08ABADAWP-IT
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G08ABADAWP-ITX
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G08ABAEAH4
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F4G08ABAEAH4-IT
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABAEAH4-ITS
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABAEAWP
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F4G08ABAEAWP-IT
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G08ABAFAH4-AAT
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F4G08ABAFAH4-AIT
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABAFAH4-IT
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABAFAM70A3WC1
4Gb
x8
3.3V
Wafer
(Empty)
(Empty)
0C to +70C
MT29F4G08ABAFAWP-AAT
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F4G08ABAFAWP-AIT
4Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G08ABAFAWP-IT
4Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBDAH4
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F4G08ABBDAH4-AITX
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBDAH4-IT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBDAH4-ITX
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBDAHC-AIT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBDAHC-IT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBDAM60A3WC1
4Gb
x8
1.8V
Wafer
n/a
(Empty)
0C to +70C
MT29F4G08ABBEAH4
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F4G08ABBEAH4-IT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBFAH4-AAT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F4G08ABBFAH4-AIT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBFAH4-AITES
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBFAH4-IT
4Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G08ABBFAM70A3WC1
4Gb
x8
1.8V
Wafer
(Empty)
(Empty)
0C to +70C
MT29F4G16ABADAH4
4Gb
x16
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F4G16ABADAH4-AIT
4Gb
x16
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G16ABADAWP-AIT
4Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G16ABADAWP-IT
4Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F4G16ABBDAH4-AIT
4Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G16ABBDAH4-IT
4Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F4G16ABBFAH4-AAT
4Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F64G08ABCBBH6-6IT
64Gb
x8
3.3V
VBGA
152-ball
333 MT/s
-40C to +85C
MT29F64G08AECABH1-10ITZ
64Gb
x8
3.3V
VBGA
100-ball
200 MT/s
-40C to +85C
MT29F64G08AECABH1-10Z
64Gb
x8
3.3V
VBGA
100-ball
200 MT/s
0C to +70C
MT29F64G08AECDBJ4-6
64Gb
x8
3.3V
VBGA
132-ball
333 MT/s
0C to +70C
MT29F64G08AFAAAWP-ITZ
64Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F64G08AJABAWP-IT
64Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F8G01ADAFD12-AAT
8Gb
x1
3.3V
TBGA
24-ball
133 MT/s
-40C to +105C
MT29F8G01ADAFD12-IT
8Gb
x1
3.3V
TBGA
24-ball
133 MT/s
-40C to +85C
MT29F8G01ADBFD12-AAT
8Gb
x1
1.8V
TSOP
24-ball
83 MT/s
-40C to +105C
MT29F8G01ADBFD12-IT
8Gb
x1
1.8V
TSOP
24-ball
83 MT/s
-40C to +85C
MT29F8G08ABABAM61A3WC1
8Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F8G08ABABAWP
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F8G08ABABAWP-AATX
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +105C
MT29F8G08ABABAWP-AITX
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F8G08ABABAWP-IT
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F8G08ABABAWP-ITX
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F8G08ABACAH4
8Gb
x8
3.3V
VFBGA
63-ball
(Empty)
0C to +70C
MT29F8G08ABACAH4-IT
8Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F8G08ABACAH4-ITS
8Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F8G08ABACAM71M3WC1
8Gb
x8
3.3V
Wafer
n/a
(Empty)
0C to +70C
MT29F8G08ABACAWP
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F8G08ABACAWP
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
0C to +70C
MT29F8G08ABACAWP-IT
8Gb
x8
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F8G08ABBCAH4-IT
8Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F8G08ABBCAM71M3WC1
8Gb
x8
1.8V
Wafer
n/a
(Empty)
0C to +70C
MT29F8G08ADADAH4-IT
8Gb
x8
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F8G08ADAFAH4-AAT
8Gb
x8
3.3V
VFBGA
63-ball
50 MT/s
-40C to +105C
MT29F8G08ADAFAWP-AAT
8Gb
x8
3.3V
TSOP
48-pin
50 MT/s
-40C to +105C
MT29F8G08ADAFAWP-AIT
8Gb
x8
3.3V
TSOP
48-pin
50 MT/s
-40C to +105C
MT29F8G08ADBDAH4-AAT
8Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +105C
MT29F8G08ADBDAH4-IT
8Gb
x8
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F8G08ADBFAH4-AAT
8Gb
x8
1.8V
VFBGA
63-ball
50 MT/s
-40C to +105C
MT29F8G16ABACAWP-IT
8Gb
x16
3.3V
TSOP
48-pin
(Empty)
-40C to +85C
MT29F8G16ADADAH4-IT
8Gb
x16
3.3V
VFBGA
63-ball
(Empty)
-40C to +85C
MT29F8G16ADBDAH4-AIT
8Gb
x16
1.8V
VFBGA
63-ball
(Empty)
-40C to +85C
3D NAND
MT29F16T08EWLCHD6-T
16Tb
3D
0C to +70C
(Empty)
LFBGA
(Empty)
(Empty)
x8
MT29F1T08EBLCHD4-R
1Tb
3D
0C to +70C
2.5V
VFBGA
(Empty)
(Empty)
x8
MT29F1T08EBLCHD4-T
1Tb
3D
0C to +70C
(Empty)
VFBGA
(Empty)
(Empty)
x8
MT29F1T08EEHAFJ4-3R
1Tb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F1T08EEHAFJ4-3T
1Tb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F1T08EEHBFJ4-R
1Tb
3D
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
x8
MT29F1T08EEHBFJ4-T
1Tb
3D
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
x8
MT29F1T08EELCEJ4-R
1Tb
3D
0C to +70C
2.5V
VBGA
132-ball
1200 MT/s
x8
MT29F1T08EELEEJ4-R
1Tb
3D
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F1T08EELEEJ4-T
1Tb
3D
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F1T08EMHAFJ4-3R
1Tb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F256G08EBCAGB16A3WC1
256Gb
3D
0C to +70C
3.3V
Wafer
(Empty)
(Empty)
x8
MT29F256G08EBCCGB16E3WC1
256Gb
TLC
(Empty)
3.3V
Wafer
(Empty)
(Empty)
x8
MT29F256G08EBHAFJ4-3R
256Gb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F256G08EBHBFB16C3WC
256Gb
TLC
(Empty)
3.3V
Wafer
(Empty)
(Empty)
x8
MT29F2T08EELCHD4-R
2Tb
3D
0C to +70C
(Empty)
(Empty)
(Empty)
(Empty)
x8
MT29F2T08EELCHD4-T
2Tb
3D
0C to +70C
(Empty)
VFBGA
(Empty)
(Empty)
x8
MT29F2T08EMHAFJ4-3R
2Tb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F2T08EMHAFJ4-3T
2Tb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F2T08EMHBFJ4-R
2Tb
3D
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
x8
MT29F2T08EMHBFJ4-T
2Tb
3D
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
x8
MT29F2T08EMLCEJ4-R
2Tb
3D
0C to +70C
2.5V
VBGA
132-ball
1200 MT/s
x8
MT29F2T08EMLEEJ4-R
2Tb
3D
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F2T08EMLEEJ4-T
2Tb
3D
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F4T08EMLCHD4-R
4Tb
3D
0C to +70C
2.5V
VFBGA
(Empty)
(Empty)
x8
MT29F4T08EMLCHD4-T
4Tb
3D
0C to +70C
(Empty)
VFBGA
(Empty)
(Empty)
x8
MT29F4T08EUHAFM4-3R
4Tb
3D
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
x8
MT29F4T08EUHAFM4-3T
4Tb
3D
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
x8
MT29F4T08EUHBFM4-R
4Tb
3D
0C to +70C
3.3V
LBGA
132-ball
800 MT/s
x8
MT29F4T08EUHBFM4-T
4Tb
3D
0C to +70C
3.3V
LBGA
132-ball
800 MT/s
x8
MT29F4T08EULCEM4-R
4Tb
3D
0C to +70C
2.5V
LBGA
132-ball
1200 MT/s
x8
MT29F4T08EULEEM4-R
4Tb
3D
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
x8
MT29F4T08EULEEM4-T
4Tb
3D
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
x8
MT29F512G08EBHAFB17A3WC1
512Gb
3D
0C to +70C
3.3V
Wafer
(Empty)
(Empty)
x8
MT29F512G08EBHAFJ4-3R
512Gb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F512G08EBHBFB27A3WC1-R
512Gb
3D
0C to +70C
3.3V
Wafer
(Empty)
(Empty)
x8
MT29F512G08EBHBFJ4-R
512Gb
3D
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
x8
MT29F512G08EBHBFJ4-T
512Gb
3D
0C to +70C
3.3V
VBGA
132-ball
800 MT/s
x8
MT29F512G08EBLCEB27B3WC1-R
512Gb
3D
0C to +70C
2.5V
Wafer
(Empty)
(Empty)
x8
MT29F512G08EBLCEJ4-R
512Gb
3D
0C to +70C
2.5V
VBGA
132-ball
1200 MT/s
x8
MT29F512G08EBLEEB47R3WC1-R
512Gb
3D
0C to +70C
2.5V
(Empty)
(Empty)
(Empty)
x8
MT29F512G08EBLEEJ4-R
512Gb
3D
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F512G08EBLEEJ4-T
512Gb
3D
0C to +70C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F512G08EBLGEJ4-ITF
512Gb
TLC
-40C to +85C
2.5V
VBGA
(Empty)
(Empty)
x8
MT29F512G08EEHAFJ4-3R
512Gb
3D
0C to +70C
3.3V
VBGA
132-ball
667 MT/s
x8
MT29F8T08EULCHD5-R
8Tb
3D
0C to +70C
2.5V
LFBGA
(Empty)
(Empty)
x8
MT29F8T08EULCHD5-T
8Tb
3D
0C to +70C
(Empty)
LFBGA
(Empty)
(Empty)
x8
MT29F8T08EWHAFJ6-3R
8Tb
3D
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
x8
MT29F8T08EWHAFJ6-3T
8Tb
3D
0C to +70C
3.3V
LBGA
132-ball
667 MT/s
x8
MT29F8T08EWLEEM5-R
8Tb
3D
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
x8
MT29F8T08EWLEEM5-T
8Tb
3D
0C to +70C
2.5V
LBGA
(Empty)
(Empty)
x8
Nor Flash
JR28F032M29EWBA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F032M29EWBB
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F032M29EWHA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F032M29EWLA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F032M29EWTA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F032M29EWTB
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWBA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWHA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWHB
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWLA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWLB
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWTA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JR28F064M29EWTB
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
JS28F00AM29EWHA
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F00AM29EWHB
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F00AM29EWLA
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F00AP30BFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F00AP30EFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F00AP30TFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F00AP33BFA
Parallel NOR Flash
P33
1Gb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F00AP33EFA
Parallel NOR Flash
P33
1Gb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F00AP33TFA
Parallel NOR Flash
P33
1Gb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F064M29EWBA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F064M29EWHA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F064M29EWLA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F064M29EWLB
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F064M29EWTA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128J3F75A
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128J3F75B
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128J3F75D
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128J3F75H
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128M29EWHF
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128M29EWLA
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F128P30BF75A
Parallel NOR Flash
P30
128Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F128P30TF75A
Parallel NOR Flash
P30
128Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F128P33BF70A
Parallel NOR Flash
P33
128Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F128P33TF70A
Parallel NOR Flash
P33
128Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256J3F105A
Parallel NOR Flash
J3
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F256J3F105B
Parallel NOR Flash
J3
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F256M29EWHA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F256M29EWHB
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F256M29EWLA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F256M29EWLB
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F256P30BFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P30BFB
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P30BFE
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P30BFF
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P30T95A
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P30TFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P30TFE
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F256P33B95A
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33B95B
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33BFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33BFE
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33T95A
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33T95B
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33TFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F256P33TFE
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F320J3F75B
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F320J3F75E
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F512M29EWHA
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F512M29EWHB
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F512M29EWLA
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F512M29EWLB
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F512P30BFA
Parallel NOR Flash
P30
512Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F512P30EFA
Parallel NOR Flash
P30
512Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F512P30TFA
Parallel NOR Flash
P30
512Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F512P33BFD
Parallel NOR Flash
P33
512Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F512P33EFA
Parallel NOR Flash
P33
512Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F512P33TFA
Parallel NOR Flash
P33
512Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F640J3F75A
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F640J3F75B
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F640J3F75D
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F640J3F75E
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
JS28F640P30BF75A
Parallel NOR Flash
P30
64Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F640P30BF75D
Parallel NOR Flash
P30
64Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F640P30TF75A
Parallel NOR Flash
P30
64Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
JS28F640P33BF70A
Parallel NOR Flash
P33
64Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
JS28F640P33TF70A
Parallel NOR Flash
P33
64Mb
-40C to +85C
TSOP
Embedded
2.3V-3.6V
x16
56-pin
M25P05-AVMN6P
Serial NOR Flash
M25P
512K
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P05-AVMN6P
Serial NOR Flash
M25P
512K
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P05-AVMN6TP
Serial NOR Flash
M25P
512K
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P05-AVMP6G
Serial NOR Flash
M25P
512K
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P05-AVMP6TG
Serial NOR Flash
M25P
512K
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P10-AVMB3TP/Y
Serial NOR Flash
M25P
1Mb
-40C to +125C
U-PDFN-8
Automotive
2.7V-3.6V
x1
8-pin
M25P10-AVMB6TG
Serial NOR Flash
M25P
1Mb
-40C to +85C
U-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P10-AVMN3P/Y
Serial NOR Flash
M25P
1Mb
-40C to +125C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P10-AVMN3TP/Y
Serial NOR Flash
M25P
1Mb
-40C to +125C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P10-AVMN6P
Serial NOR Flash
M25P
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P10-AVMN6PYA
Serial NOR Flash
M25P
1Mb
-40C to +85C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P10-AVMN6TP
Serial NOR Flash
M25P
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P10-AVMN6TPYA
Serial NOR Flash
M25P
1Mb
-40C to +85C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P10-AVMP6G
Serial NOR Flash
M25P
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P10-AVMP6TG
Serial NOR Flash
M25P
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P10-V6D11
Serial NOR Flash
M25P
1Mb
-40C to +85C
KGD
Embedded
2.3V-3.6V
x1
n/a
M25P128-VME6GB
Serial NOR Flash
M25P
128Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P128-VME6TGB
Serial NOR Flash
M25P
128Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P128-VMF6PB
Serial NOR Flash
M25P
128Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1
16-pin
M25P128-VMF6TPB
Serial NOR Flash
M25P
128Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1
16-pin
M25P16S-VMN6P
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P16-V6D11
Serial NOR Flash
M25P
16Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1
n/a
M25P16-VMC6G
Serial NOR Flash
M25P
16Mb
-40C to +85C
U-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMC6TG
Serial NOR Flash
M25P
16Mb
-40C to +85C
U-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VME6G
Serial NOR Flash
M25P
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VME6TG
Serial NOR Flash
M25P
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMF3PB
Serial NOR Flash
M25P
16Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1
16-pin
M25P16-VMF3TPB
Serial NOR Flash
M25P
16Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1
16-pin
M25P16-VMF6P
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1
16-pin
M25P16-VMF6PBA
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1
16-pin
M25P16-VMF6TP
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1
16-pin
M25P16-VMN3PB
Serial NOR Flash
M25P
16Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P16-VMN3TPB
Serial NOR Flash
M25P
16Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P16-VMN3YPB
Serial NOR Flash
M25P
16Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P16-VMN6P
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMN6PBA
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P16-VMN6TP
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMN6TPBA
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P16-VMN6YPBA
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P16-VMP6G
Serial NOR Flash
M25P
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMP6TG
Serial NOR Flash
M25P
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMW6G
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25P16-VMW6TG
Serial NOR Flash
M25P
16Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25P20S-VMN6TPB
Serial NOR Flash
M25P
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P20-VMN3PB
Serial NOR Flash
M25P
2Mb
-40C to +125C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P20-VMN3TPB
Serial NOR Flash
M25P
2Mb
-40C to +125C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P20-VMN6PB
Serial NOR Flash
M25P
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P20-VMN6TPB
Serial NOR Flash
M25P
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P20-VMN6TPBA
Serial NOR Flash
M25P
2Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P20-VMP6GB
Serial NOR Flash
M25P
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P20-VMP6TGB
Serial NOR Flash
M25P
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P32-VMF3PB
Serial NOR Flash
M25P
32Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1
16-pin
M25P32-VMF3TPB
Serial NOR Flash
M25P
32Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1
16-pin
M25P32-VMF6PBA
Serial NOR Flash
M25P
32Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1
16-pin
M25P32-VMW3GB
Serial NOR Flash
M25P
32Mb
-40C to +125C
SO8 Wide
Automotive
2.7V-3.6V
x1
8-pin
M25P32-VMW3TGB
Serial NOR Flash
M25P
32Mb
-40C to +125C
SO8 Wide
Automotive
2.7V-3.6V
x1
8-pin
M25P32-VMW6GBA
Serial NOR Flash
M25P
32Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1
8-pin
M25P32-VMW6TGBA
Serial NOR Flash
M25P
32Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1
8-pin
M25P40-VMB3TPB
Serial NOR Flash
M25P
4Mb
-40C to +125C
U-PDFN-8
Automotive
2.7V-3.6V
x1
8-pin
M25P40-VMB6TPB
Serial NOR Flash
M25P
4Mb
-40C to +85C
U-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMC6GB
Serial NOR Flash
M25P
4Mb
-40C to +85C
U-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMC6TGB
Serial NOR Flash
M25P
4Mb
-40C to +85C
U-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMN3PB
Serial NOR Flash
M25P
4Mb
-40C to +125C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P40-VMN3TPB
Serial NOR Flash
M25P
4Mb
-40C to +125C
SO8 Narrow
Automotive
2.3V-3.6V
x1
8-pin
M25P40-VMN6PB
Serial NOR Flash
M25P
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMN6PBA
Serial NOR Flash
M25P
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMN6TPB
Serial NOR Flash
M25P
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMN6TPBA
Serial NOR Flash
M25P
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMP6GB
Serial NOR Flash
M25P
4Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P40-VMP6TGB
Serial NOR Flash
M25P
4Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1
8-pin
M25P80S-VMN6P
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P80S-VMN6TP
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMC6G
Serial NOR Flash
M25P
8Mb
-40C to +85C
U-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMC6TG
Serial NOR Flash
M25P
8Mb
-40C to +85C
U-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMN3PB
Serial NOR Flash
M25P
8Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P80-VMN3TPB
Serial NOR Flash
M25P
8Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P80-VMN6P
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMN6PBA
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P80-VMN6TP
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMN6TPBA
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25P80-VMP6G
Serial NOR Flash
M25P
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMP6TG
Serial NOR Flash
M25P
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMS6G
Serial NOR Flash
M25P
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMS6TG
Serial NOR Flash
M25P
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMW6G
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMW6TG
Serial NOR Flash
M25P
8Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25P80-VMW6TGBA
Serial NOR Flash
M25P
8Mb
-40C to +125C
SO8 Wide
Automotive
2.7V-3.6V
x1
8-pin
M25PE10-VD11
Serial NOR Flash
M25PE
1Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1
n/a
M25PE10-VMN3TPB
Serial NOR Flash
M25PE
1Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25PE10-VMN6P
Serial NOR Flash
M25PE
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE10-VMN6TP
Serial NOR Flash
M25PE
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE10-VMP6G
Serial NOR Flash
M25PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE10-VMP6TG
Serial NOR Flash
M25PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE10-VMS6G
Serial NOR Flash
M25PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE10-VMS6TG
Serial NOR Flash
M25PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE16-VMP6G
Serial NOR Flash
M25PE
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE16-VMP6TG
Serial NOR Flash
M25PE
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE16-VMS6G
Serial NOR Flash
M25PE
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE16-VMS6TG
Serial NOR Flash
M25PE
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE16-VMW6G
Serial NOR Flash
M25PE
16Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE16-VMW6TG
Serial NOR Flash
M25PE
16Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE20-V6D11
Serial NOR Flash
M25PE
2Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1
n/a
M25PE20-VMN6P
Serial NOR Flash
M25PE
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE20-VMN6TP
Serial NOR Flash
M25PE
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE20-VMN6TPBA
Serial NOR Flash
M25PE
2Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25PE20-VMP6G
Serial NOR Flash
M25PE
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE20-VMP6TG
Serial NOR Flash
M25PE
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE20-VMS6G
Serial NOR Flash
M25PE
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE20-VMS6TG
Serial NOR Flash
M25PE
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE40S-VMW6G
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE40S-VMW6TG
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE40-VMN3TPB
Serial NOR Flash
M25PE
4Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25PE40-VMN6P
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE40-VMN6TP
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE40-VMN6TPBA
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25PE40-VMP6TG
Serial NOR Flash
M25PE
4Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE40-VMW6G
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE40-VMW6TG
Serial NOR Flash
M25PE
4Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE80-VMN6P
Serial NOR Flash
M25PE
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE80-VMN6TP
Serial NOR Flash
M25PE
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M25PE80-VMN6TPBA
Serial NOR Flash
M25PE
8Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1
8-pin
M25PE80-VMP6G
Serial NOR Flash
M25PE
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE80-VMP6TG
Serial NOR Flash
M25PE
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M25PE80-VMW6G
Serial NOR Flash
M25PE
8Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PE80-VMW6TG
Serial NOR Flash
M25PE
8Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M25PX16SOVZM6TP
Serial NOR Flash
M25PX
16Mb
-40C to +85C
T-PBGA
Embedded
2.3V-3.6V
x1/x2
24-ball
M25PX16STVZM6TP
Serial NOR Flash
M25PX
16Mb
-40C to +85C
T-PBGA
Embedded
2.3V-3.6V
x1/x2
24-ball
M25PX16-V6D11
Serial NOR Flash
M25PX
16Mb
-40C to +85C
KGD
Embedded
2.3V-3.6V
x1/x2
n/a
M25PX16-VMN6P
Serial NOR Flash
M25PX
16Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX16-VMN6TP
Serial NOR Flash
M25PX
16Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX16-VMN6TPBA
Serial NOR Flash
M25PX
16Mb
-40C to +85C
SO8 Narrow
Automotive
2.7V-3.6V
x1/x2
8-pin
M25PX16-VMP6G
Serial NOR Flash
M25PX
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX16-VMP6TG
Serial NOR Flash
M25PX
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX16-VMW6G
Serial NOR Flash
M25PX
16Mb
-40C to +85C
SO8 Wide
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX16-VMW6TG
Serial NOR Flash
M25PX
16Mb
-40C to +85C
SO8 Wide
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX16-VZM6P
Serial NOR Flash
M25PX
16Mb
-40C to +85C
T-PBGA
Embedded
2.3V-3.6V
x1/x2
24-ball
M25PX16-VZM6TP
Serial NOR Flash
M25PX
16Mb
-40C to +85C
T-PBGA
Embedded
2.3V-3.6V
x1/x2
24-ball
M25PX32-VMP6FBA
Serial NOR Flash
M25PX
32Mb
-40C to +85C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2
8-pin
M25PX32-VZM6FBA
Serial NOR Flash
M25PX
32Mb
-40C to +85C
T-PBGA
Automotive
2.7V-3.6V
x1/x2
24-ball
M25PX80-VMN6P
Serial NOR Flash
M25PX
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMN6TP
Serial NOR Flash
M25PX
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMP6G
Serial NOR Flash
M25PX
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMP6TG
Serial NOR Flash
M25PX
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMS6G
Serial NOR Flash
M25PX
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMS6TG
Serial NOR Flash
M25PX
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMW6G
Serial NOR Flash
M25PX
8Mb
-40C to +85C
SO8 Wide
Embedded
2.3V-3.6V
x1/x2
8-pin
M25PX80-VMW6TG
Serial NOR Flash
M25PX
8Mb
-40C to +85C
SO8 Wide
Embedded
2.3V-3.6V
x1/x2
8-pin
M28W160CB70N6E
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W160CB70N6F
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W160CT70N6E
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W160CT70N6F
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W160ECB70ZB6E
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
46-ball
M28W160ECB70ZB6U
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
46-ball
M28W160ECT70ZB6E
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
46-ball
M28W160ECT70ZB6U
Parallel NOR Flash
M28W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
46-ball
M28W320FCB70N6E
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W320FCB70N6F
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W320FCB70ZB6E
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
47-ball
M28W320FCB70ZB6F
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
47-ball
M28W320FCT70N6E
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W320FCT70N6F
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W320FCT70ZB6E
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
47-ball
M28W320FCT70ZB6F
Parallel NOR Flash
M28W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
47-ball
M28W640HCB70N6E
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W640HCB70N6F
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W640HCB70ZB6E
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
48-ball
M28W640HCB70ZB6F
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
48-ball
M28W640HCT70N6E
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W640HCT70N6F
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
48-pin
M28W640HCT70ZB6E
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
48-ball
M28W640HCT70ZB6F
Parallel NOR Flash
M28W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x16
48-ball
M29DW127G70NF6E
Parallel NOR Flash
M29DW
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29DW127G70NF6F
Parallel NOR Flash
M29DW
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29DW127G70ZA6E
Parallel NOR Flash
M29DW
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29DW127G70ZA6F
Parallel NOR Flash
M29DW
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29DW128G60ZA6E
Parallel NOR Flash
M29DW
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x16
64-ball
M29DW128G70NF6E
Parallel NOR Flash
M29DW
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
M29DW256G70NF3E
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x16
56-pin
M29DW256G70NF6E
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
M29DW256G70NF6F
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
M29DW256G70ZA6E
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x16
64-ball
M29DW256G70ZA6F
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x16
64-ball
M29DW256G7ANF6E
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x16
56-pin
M29DW256G7ANF6F
Parallel NOR Flash
M29DW
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x16
56-pin
M29DW323DB5AN6F
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29DW323DB70N3E
Parallel NOR Flash
M29DW
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29DW323DB70N6E
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29DW323DB70N6F
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29DW323DB70ZE6E
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29DW323DB70ZE6F
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29DW323DB7AN6F
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29DW323DT70N6E
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29DW323DT70N6F
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29DW323DT70ZE6E
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29DW323DT70ZE6F
Parallel NOR Flash
M29DW
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29F160FB55N3E2
Parallel NOR Flash
M29F
16Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FB55N3F2
Parallel NOR Flash
M29F
16Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FB5AN6E2
Parallel NOR Flash
M29F
16Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FB5AN6F2
Parallel NOR Flash
M29F
16Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FT55N3E2
Parallel NOR Flash
M29F
16Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FT55N3F2
Parallel NOR Flash
M29F
16Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FT5AN6E2
Parallel NOR Flash
M29F
16Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F160FT5AN6F2
Parallel NOR Flash
M29F
16Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FB55M3E2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F200FB55M3F2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F200FB55N3E2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FB55N3F2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FB5AM6F2
Parallel NOR Flash
M29F
2Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F200FB5AN6E2
Parallel NOR Flash
M29F
2Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FT55M3E2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F200FT55M3F2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F200FT55N3E2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FT55N3F2
Parallel NOR Flash
M29F
2Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FT5AM6F2
Parallel NOR Flash
M29F
2Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F200FT5AN6E2
Parallel NOR Flash
M29F
2Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F200FT5AN6F2
Parallel NOR Flash
M29F
2Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F400FB55M32
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB55M3E2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB55M3F2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB55M3T2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB55N3E2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F400FB55N3F2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F400FB5AM62
Parallel NOR Flash
M29F
4Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB5AM6F2
Parallel NOR Flash
M29F
4Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB5AM6T2
Parallel NOR Flash
M29F
4Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FB5AN6E2
Parallel NOR Flash
M29F
4Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F400FT55M32
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FT55M3E2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FT55M3F2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FT55M3T2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FT55N3E2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F400FT55N3F2
Parallel NOR Flash
M29F
4Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F400FT5AM62
Parallel NOR Flash
M29F
4Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FT5AM6T2
Parallel NOR Flash
M29F
4Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F400FT5AN6E2
Parallel NOR Flash
M29F
4Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FB55M3E2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F800FB55M3F2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F800FB55N3E2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FB55N3F2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FB5AM6F2
Parallel NOR Flash
M29F
8Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F800FB5AN6E2
Parallel NOR Flash
M29F
8Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FB5AN6F2
Parallel NOR Flash
M29F
8Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FT55M3E2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F800FT55M3F2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F800FT55N3E2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FT55N3F2
Parallel NOR Flash
M29F
8Mb
-40C to +125C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FT5AM6F2
Parallel NOR Flash
M29F
8Mb
-40C to +85C
SOIC
Automotive
4.5V-5.5V
x8/x16
44-pin
M29F800FT5AN6E2
Parallel NOR Flash
M29F
8Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29F800FT5AN6F2
Parallel NOR Flash
M29F
8Mb
-40C to +85C
TSOP
Automotive
4.5V-5.5V
x8/x16
48-pin
M29W064FB6AZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W064FB6AZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W064FB70N3E
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W064FB70N3F
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W064FT6AZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W064FT6AZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W064FT70N3E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W064FT70N3F
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W128GH60ZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GH6AZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
LBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GH70N3E
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GH70N3F
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GH70N6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GH70N6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GH70ZA3E
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GH70ZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GH70ZA6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GH70ZS3E
Parallel NOR Flash
M29W
128Mb
-40C to +125C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GH70ZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GH70ZS6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GH7AN6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GH7AN6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GH7AZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GH7AZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL60ZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GL6AZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL70N3E
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GL70N3F
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GL70N6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GL70N6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GL70ZA3E
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZA3F
Parallel NOR Flash
M29W
128Mb
-40C to +125C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZA6DE
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZA6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZS3E
Parallel NOR Flash
M29W
128Mb
-40C to +125C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZS3F
Parallel NOR Flash
M29W
128Mb
-40C to +125C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GL70ZS6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GL7AN6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GL7AN6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W128GL7AZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL7AZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL7AZS6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W128GL90N6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GSH70N6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GSH70ZA6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GSH70ZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GSH70ZS6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GSL70N6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W128GSL70ZA6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GSL70ZA6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GSL70ZS6E
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W128GSL70ZS6F
Parallel NOR Flash
M29W
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W160EB70N3E
Parallel NOR Flash
M29W
16Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160EB70N3F
Parallel NOR Flash
M29W
16Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160EB70N6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W160EB70ZA6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W160EB70ZA6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W160EB70ZS6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W160EB70ZS6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W160EB7AN6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160EB7AN6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160EB7AZA6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W160EB80ZA3SE
Parallel NOR Flash
M29W
16Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W160ET70N3E
Parallel NOR Flash
M29W
16Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160ET70N3F
Parallel NOR Flash
M29W
16Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160ET70N6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W160ET70N6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W160ET70ZA6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W160ET70ZA6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W160ET70ZS6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W160ET70ZS6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W160ET7AN6E
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160ET7AN6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160ET7AZA6F
Parallel NOR Flash
M29W
16Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W160FB70N3E
Parallel NOR Flash
M29W
16Mb
-40C to +105C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160FB70N3F
Parallel NOR Flash
M29W
16Mb
-40C to +105C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W160FB80ZA3SE
Parallel NOR Flash
M29W
16Mb
-40C to +105C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W160FT70N3E
Parallel NOR Flash
M29W
16Mb
-40C to +105C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W256GH70N3E
Parallel NOR Flash
M29W
256Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W256GH70N6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W256GH70ZA6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GH70ZA6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GH70ZS3F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GH70ZS6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GH70ZS6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GH7AN6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W256GH7AN6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W256GH7AZA6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W256GH7AZS6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W256GH7AZS6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W256GL70N6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W256GL70ZA6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GL70ZA6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GL70ZS6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GL70ZS6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GL7AN6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W256GL7AN6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W256GL7AZA6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W256GL7AZS6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W256GL7AZS6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W256GSH70ZS6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GSH70ZS6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GSL70ZS6E
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W256GSL70ZS6F
Parallel NOR Flash
M29W
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W320DB70N3E
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320DB70N3F
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320DB70N6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320DB70N6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320DB70ZA3F
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W320DB70ZE6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320DB70ZE6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320DB7AN6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320DB7AN6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320DB7AZA6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W320DB7AZA6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W320DB80ZA3E
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W320DB80ZA3F
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W320DT70N3E
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320DT70N6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320DT70N6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320DT70ZE6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320DT70ZE6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320DT7AN6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320EB70N6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320EB70N6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320EB70ZE6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320EB70ZE6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320EB70ZS6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W320EB70ZS6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W320ET70N6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320ET70N6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W320ET70ZE6E
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320ET70ZE6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W320ET70ZS6F
Parallel NOR Flash
M29W
32Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W320FB70N3F
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320FT70N3E
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W320FT70N3F
Parallel NOR Flash
M29W
32Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400DB45ZE6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DB55N6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DB55N6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DB55ZE6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DB55ZE6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DB70N6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DB70N6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DB70ZE6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DT45N6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DT45ZE6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DT55N6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DT55N6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DT55ZE6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DT55ZE6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DT70N6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DT70N6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W400DT70ZE6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400DT70ZE6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W400FB55N3E
Parallel NOR Flash
M29W
4Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400FB55N3F
Parallel NOR Flash
M29W
4Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400FB5AN6E
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400FB5AN6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400FT55N3E
Parallel NOR Flash
M29W
4Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400FT55N3F
Parallel NOR Flash
M29W
4Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W400FT5AZA6F
Parallel NOR Flash
M29W
4Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W512GH70N3E
Parallel NOR Flash
M29W
512Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W512GH7AN6E
Parallel NOR Flash
M29W
512Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W640FB70N6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640FB70N6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640FB70ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640FB70ZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640FT70N6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640FT70N6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640FT70ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640FT70ZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GB60ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GB6AZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W640GB6AZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W640GB70N3E
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W640GB70N3F
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W640GB70NA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GB70NA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GB70NB6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W640GB70ZA3E
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W640GB70ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GB70ZA6EP
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GB70ZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GB70ZF3F
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W640GB70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GB70ZS6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GB70ZS6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GB7AN6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W640GB90NA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GH70NA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GH70NA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GH70NB6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W640GH70NB6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W640GH70ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GH70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GH70ZF6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GH70ZS6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GH70ZS6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GH7ANB6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W640GL70NA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GL70NA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GL70NB6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W640GL70NB6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W640GL70ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GL70ZF3E
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W640GL70ZF3F
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W640GL70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GL70ZF6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GL70ZS6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GL7ANB6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
56-pin
M29W640GL7AZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Automotive
2.7V-3.6V
x8/x16
64-ball
M29W640GSB70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GSH70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GSL70NA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GSL70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GSL70ZF6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GSL70ZS6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GST70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GT60ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GT70N3F
Parallel NOR Flash
M29W
64Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W640GT70NA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GT70NA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W640GT70NB6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
M29W640GT70ZA6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GT70ZA6EP
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GT70ZA6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W640GT70ZF6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GT70ZS6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GT70ZS6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
M29W640GT7AN6E
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W640GT7AN6F
Parallel NOR Flash
M29W
64Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W800DB45N6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DB45ZE6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DB45ZE6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DB70N6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DB70N6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DB70ZE6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DB70ZE6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DT45N6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DT45N6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DT45ZE6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DT45ZE6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DT70N6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DT70N6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
48-pin
M29W800DT70ZE6E
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800DT70ZE6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Embedded
2.7V-3.6V
x8/x16
48-ball
M29W800FB70N3E
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W800FB70N3F
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W800FB70ZA3SE
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W800FB70ZA3SF
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W800FB7AN6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W800FB7AZA6F
Parallel NOR Flash
M29W
8Mb
-40C to +85C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W800FT70N3E
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W800FT70N3F
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TSOP
Automotive
2.7V-3.6V
x8/x16
48-pin
M29W800FT70ZA3SE
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M29W800FT70ZA3SF
Parallel NOR Flash
M29W
8Mb
-40C to +125C
TFBGA
Automotive
2.7V-3.6V
x8/x16
48-ball
M45PE10S-VMN6P
Serial NOR Flash
M45PE
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE10S-VMN6TP
Serial NOR Flash
M45PE
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE10S-VMP6G
Serial NOR Flash
M45PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE10S-VMP6TG
Serial NOR Flash
M45PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE10-VMN6P
Serial NOR Flash
M45PE
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE10-VMN6TP
Serial NOR Flash
M45PE
1Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE10-VMP6G
Serial NOR Flash
M45PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE10-VMP6TG
Serial NOR Flash
M45PE
1Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE16-VMP6G
Serial NOR Flash
M45PE
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE16-VMP6TG
Serial NOR Flash
M45PE
16Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE16-VMW6G
Serial NOR Flash
M45PE
16Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M45PE16-VMW6TG
Serial NOR Flash
M45PE
16Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M45PE20S-VMN6P
Serial NOR Flash
M45PE
2Mb
-40C to +85C
(Empty)
(Empty)
2.7V-3.6V
x1
(Empty)
M45PE20S-VMN6TP
Serial NOR Flash
M45PE
2Mb
-40C to +85C
(Empty)
(Empty)
2.7V-3.6V
x1
(Empty)
M45PE20S-VMP6G
Serial NOR Flash
M45PE
2Mb
-40C to +85C
(Empty)
(Empty)
2.7V-3.6V
x1
(Empty)
M45PE20S-VMP6TG
Serial NOR Flash
M45PE
2Mb
-40C to +85C
(Empty)
(Empty)
2.7V-3.6V
x1
(Empty)
M45PE20-VMN6P
Serial NOR Flash
M45PE
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE20-VMN6TP
Serial NOR Flash
M45PE
2Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE20-VMP6G
Serial NOR Flash
M45PE
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE20-VMP6TG
Serial NOR Flash
M45PE
2Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE40S-VMN6P
Serial NOR Flash
M45PE
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE40S-VMN6TP
Serial NOR Flash
M45PE
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE40S-VMP6G
Serial NOR Flash
M45PE
4Mb
-40C to +85C
V-PDFN-8
(Empty)
2.7V-3.6V
x1
8-pin
M45PE40S-VMP6TG
Serial NOR Flash
M45PE
4Mb
-40C to +85C
V-PDFN-8
(Empty)
2.7V-3.6V
x1
8-pin
M45PE40-VMN6P
Serial NOR Flash
M45PE
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE40-VMN6TP
Serial NOR Flash
M45PE
4Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE40-VMP6G
Serial NOR Flash
M45PE
4Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE40-VMP6TG
Serial NOR Flash
M45PE
4Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE40-VMW6G
Serial NOR Flash
M45PE
4Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M45PE40-VMW6TG
Serial NOR Flash
M45PE
4Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M45PE80-VMN6P
Serial NOR Flash
M45PE
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE80-VMN6TP
Serial NOR Flash
M45PE
8Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1
8-pin
M45PE80-VMP6G
Serial NOR Flash
M45PE
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE80-VMP6TG
Serial NOR Flash
M45PE
8Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1
8-pin
M45PE80-VMW6G
Serial NOR Flash
M45PE
8Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M45PE80-VMW6TG
Serial NOR Flash
M45PE
8Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1
8-pin
M58BW016FB7T3F
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
PQFP
Automotive
2.7V-3.6V
x32
80-ball
M58BW016FB7ZA3F
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW16FB4T3F
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
PQFP
Automotive
2.7V-3.6V
x32
80-pin
M58BW16FB4ZA3F
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW16FB4ZA3T
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW16FB5T3F
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
PQFP
Automotive
2.7V-3.6V
x32
80-pin
M58BW16FB5T3T
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
PQFP
Automotive
2.7V-3.6V
x32
80-pin
M58BW16FB5ZA3F
Parallel NOR Flash
M58BW
16Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW32FB4T3F
Parallel NOR Flash
M58BW
32Mb
-40C to +125C
PQFP
Automotive
2.7V-3.6V
x32
80-pin
M58BW32FB4ZA3F
Parallel NOR Flash
M58BW
32Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW32FB4ZA3T
Parallel NOR Flash
M58BW
32Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW32FB5T3F
Parallel NOR Flash
M58BW
32Mb
-40C to +125C
PQFP
Automotive
2.7V-3.6V
x32
80-pin
M58BW32FB5ZA3F
Parallel NOR Flash
M58BW
32Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58BW32FB5ZA3T
Parallel NOR Flash
M58BW
32Mb
-40C to +125C
LBGA
Automotive
2.7V-3.6V
x32
80-ball
M58WR032KB70ZB6E
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR032KB70ZB6F
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR032KB7AZB6E
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
WFBGA
Automotive
1.7V-2.0V
x16
56-ball
M58WR032KB7AZB6F
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Automotive
1.7V-2.0V
x16
56-ball
M58WR032KL70ZA6U
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
44-ball
M58WR032KT70ZB6E
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR032KT70ZB6F
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR032KU70ZA6U
Parallel NOR Flash
M58WR
32Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
44-ball
M58WR064KB70ZB6E
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR064KB70ZB6F
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR064KB7AZB6E
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Automotive
1.7V-2.0V
x16
56-ball
M58WR064KB7AZB6F
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Automotive
1.7V-2.0V
x16
56-ball
M58WR064KT70ZB6F
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
56-ball
M58WR064KT7AZB6E
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Automotive
1.7V-2.0V
x16
56-ball
M58WR064KT7AZB6F
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Automotive
1.7V-2.0V
x16
56-ball
M58WR064KU70ZA6F
Parallel NOR Flash
M58WR
64Mb
-40C to +85C
VFBGA
Embedded
1.7V-2.0V
x16
44-ball
MT25QL01GBBA8E12-0SIT
Serial NOR Flash
MT25Q
1Gb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL01GBBA8E12-1SIT
Serial NOR Flash
MT25Q
1Gb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL02GCBA8E12-0SIT
Serial NOR Flash
MT25Q
2Gb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL128ABA1ESE-MSIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
MT25QL128ABA1EW7-MSIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
MT25QL128ABA8E12-1SIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL128ABA8E14-0SIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL128ABA8E14-1SIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL256ABA8E12-1SAT
Serial NOR Flash
MT25Q
256Mb
-40C to +105C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL256ABA8E14-1SIT
Serial NOR Flash
MT25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL256ABA8ESF-MSIT
Serial NOR Flash
MT25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
MT25QL512ABA8E12-0SIT
Serial NOR Flash
MT25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QL512ABA8ESF-0SIT
Serial NOR Flash
MT25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
MT25QL512ABB8E12-1SIT
Serial NOR Flash
MT25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
MT25QU01GBBA8E12-0SIT
Serial NOR Flash
MT25Q
1Gb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
MT25QU128ABA1EW7-MSIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
W-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
MT25QU128ABA8E12-1SIT
Serial NOR Flash
MT25Q
128Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
MT25QU256ABA8ESF-MSIT
Serial NOR Flash
MT25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
MT25QU512ABA8E12-0SIT
Serial NOR Flash
MT25Q
512Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
MT25QU512ABA8E12-1SIT
Serial NOR Flash
MT25Q
512Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
MT25QU512ABA8ESF-0SIT
Serial NOR Flash
MT25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
MT28EW01GABA1HPC-1SIT
Parallel NOR Flash
EW-Series
1Gb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW01GABA1LPC-1SIT
Parallel NOR Flash
EW-Series
1Gb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW128ABA1HPC-1SIT
Parallel NOR Flash
EW-Series
128Mb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW128ABA1HPN-0SIT
Parallel NOR Flash
EW-Series
128Mb
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
x8/x16
56-ball
MT28EW128ABA1LPC-1SIT
Parallel NOR Flash
EW-Series
128Mb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW256ABA1HPC-1SIT
Parallel NOR Flash
EW-Series
256Mb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW256ABA1LPC-1SIT
Parallel NOR Flash
EW-Series
256Mb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW512ABA1HPC-1SIT
Parallel NOR Flash
EW-Series
512Mb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28EW512ABA1LPC-1SIT
Parallel NOR Flash
EW-Series
512Mb
-40C to +85C
LBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
MT28FW01GABA1HJS-0AAT
Parallel NOR Flash
FW-Series
1Gb
-40C to +105C
TSOP
Automotive
2.7V-3.6V
x16
56-pin
MT28FW01GABA1HPC-0AAT
Parallel NOR Flash
FW-Series
1Gb
-40C to +105C
LBGA
Automotive
2.7V-3.6V
x16
64-ball
MT28FW01GABA1LJS-0AAT
Parallel NOR Flash
FW-Series
1Gb
-40C to +105C
TSOP
Automotive
2.7V-3.6V
x16
56-pin
MT28FW512ABA1HJS-0AAT
Parallel NOR Flash
FW-Series
512Mb
-40C to +105C
TSOP
Automotive
2.7V-3.6V
x16
56-pin
MT28FW512ABA1HPC-0AAT
Parallel NOR Flash
FW-Series
512Mb
-40C to +105C
LBGA
Automotive
2.7V-3.6V
x16
64-ball
MT28FW512ABA1HPN-0AAT
Parallel NOR Flash
FW-Series
512Mb
-40C to +105C
VFBGA
Automotive
2.7V-3.6V
x16
56-ball
MT28FW512ABA1LPN-0AAT
Parallel NOR Flash
FW-Series
512Mb
-40C to +105C
VFBGA
Automotive
2.7V-3.6V
x16
56-ball
MT28GU01GAAA1EGC-0SIT
Parallel NOR Flash
G18
1Gb
-40C to +85C
TBGA
(Empty)
1.7V-2.0V
x16
64-ball
MT28GU01GAAA2EGC-0AAT
Parallel NOR Flash
G18
1Gb
-40C to +105C
TBGA
Automotive
1.7V-2.0V
x16
64-ball
MT28GU01GAAA2EGC-0SIT
Parallel NOR Flash
G18
1Gb
-40C to +85C
TBGA
(Empty)
1.7V-2.0V
x16
64-ball
MT28GU256AAA1EGC-0SIT
Parallel NOR Flash
G18
256Mb
-40C to +85C
TBGA
(Empty)
1.7V-2.0V
x16
64-ball
MT28GU256AAA2EGC-0AAT
Parallel NOR Flash
G18
256Mb
-40C to +105C
TBGA
Automotive
1.7V-2.0V
x16
64-ball
MT28GU256AAA2EGC-0SIT
Parallel NOR Flash
G18
256Mb
-40C to +85C
TBGA
(Empty)
1.7V-2.0V
x16
64-ball
MT28GU512AAA1EGC-0SIT
Parallel NOR Flash
G18
512Mb
-40C to +85C
TBGA
(Empty)
1.7V-2.0V
x16
64-ball
MT28GU512AAA2EGC-0AAT
Parallel NOR Flash
G18
512Mb
-40C to +105C
TBGA
Automotive
1.7V-2.0V
x16
64-ball
MT28GU512AAA2EGC-0SIT
Parallel NOR Flash
G18
512Mb
-40C to +85C
TBGA
(Empty)
1.7V-2.0V
x16
64-ball
N25Q00AA11G1240E
Serial NOR Flash
N25Q
1Gb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q00AA11G1240F
Serial NOR Flash
N25Q
1Gb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q00AA11GSF40F
Serial NOR Flash
N25Q
1Gb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q00AA11GSF40G
Serial NOR Flash
N25Q
1Gb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q00AA13G1240E
Serial NOR Flash
N25Q
1Gb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q00AA13G1240F
Serial NOR Flash
N25Q
1Gb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q00AA13GSF40F
Serial NOR Flash
N25Q
1Gb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q00AA13GSF40G
Serial NOR Flash
N25Q
1Gb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q016A11E5140F
Serial NOR Flash
N25Q
16Mb
-40C to +85C
XF-SCSP
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q016A11EF640E
Serial NOR Flash
N25Q
16Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q016A11EF640F
Serial NOR Flash
N25Q
16Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q016A11ESC40F
Serial NOR Flash
N25Q
16Mb
-40C to +85C
SO8 Narrow
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q016A11ESC40G
Serial NOR Flash
N25Q
16Mb
-40C to +85C
SO8 Narrow
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11EF440E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
U-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11EF440F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
U-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11EF640E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11EF640F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11ESE40F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Wide
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11ESE40G
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Wide
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11ESEA0F
Serial NOR Flash
N25Q
32Mb
-40C to +125C
SO8 Wide
Automotive
1.7V-2.0V
x1/x2/x4
8-pin
N25Q032A11ESF40F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q032A11ESF40G
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q032A13E1240E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q032A13E1240F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q032A13E1241E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q032A13E1241F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q032A13EF440E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
U-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13EF440F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
U-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13EF640E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13EF640F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESC40F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESC40G
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Narrow
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESCA0F
Serial NOR Flash
N25Q
32Mb
-40C to +125C
SO8 Narrow
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESE40E
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESE40F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESE40G
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESEA0F
Serial NOR Flash
N25Q
32Mb
-40C to +125C
SO8 Wide
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESEH0F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q032A13ESF40F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q032A13ESF40G
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q032A13ESFA0F
Serial NOR Flash
N25Q
32Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q032A13ESFH0F
Serial NOR Flash
N25Q
32Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q032A13EV140
Serial NOR Flash
N25Q
32Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1/x2/x4
n/a
N25Q064A11E12A0F
Serial NOR Flash
N25Q
64Mb
-40C to +125C
T-PBGA
Automotive
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A11E5340F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
XF-SCSP
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q064A11EF640E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q064A11EF640F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q064A11ESE40F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q064A11ESE40G
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q064A11ESEA0F
Serial NOR Flash
N25Q
64Mb
-40C to +125C
SO8 Wide
Automotive
1.7V-2.0V
x1/x2/x4
8-pin
N25Q064A13E1240E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E1240F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E1241E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E1241F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E1247E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E1247F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E12A0F
Serial NOR Flash
N25Q
64Mb
-40C to +125C
T-PBGA
Automotive
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E12H0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
T-PBGA
Automotive
2.7V-3.6V
x1/x2/x4
24-ball
N25Q064A13E5340F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
XF-SCSP
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF640E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF640F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF840E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF840F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF8A0E
Serial NOR Flash
N25Q
64Mb
-40C to +125C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF8A0F
Serial NOR Flash
N25Q
64Mb
-40C to +125C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF8H0E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EF8H0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESE40E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESE40F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESE40G
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESE4ME
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESE4MF
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESE4MG
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESEA0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESED0E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESED0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESED0G
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESEH0E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESEH0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13ESF40E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESF40F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESF40G
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESF42F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESF42G
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESFA0F
Serial NOR Flash
N25Q
64Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESFD0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESFD0G
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESFH0E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13ESFH0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q064A13EV140
Serial NOR Flash
N25Q
64Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1/x2/x4
n/a
N25Q064A13EV740
Serial NOR Flash
N25Q
64Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1/x2/x4
n/a
N25Q064A13EV741
Serial NOR Flash
N25Q
64Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1/x2/x4
n/a
N25Q064A13EW74ME
Serial NOR Flash
N25Q
64Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EW74MF
Serial NOR Flash
N25Q
64Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EW7D0E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EW7D0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EW9D0E
Serial NOR Flash
N25Q
64Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q064A13EW9D0F
Serial NOR Flash
N25Q
64Mb
-40C to +85C
W-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A11E1240E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q128A11E1240F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q128A11E1241E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q128A11E1241F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q128A11EF740E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q128A11EF740F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q128A11EF840E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q128A11EF840F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q128A11ESE40F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q128A11ESE40G
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q128A11ESF40F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q128A11ESF40G
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q128A11EV740
Serial NOR Flash
N25Q
128Mb
-40C to +85C
KGD
Embedded
1.7V-2.0V
x1/x2/x4
n/a
N25Q128A13E1240E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q128A13E1240F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q128A13E1241E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q128A13E1241F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q128A13E12A0F
Serial NOR Flash
N25Q
128Mb
-40C to +125C
T-PBGA
Automotive
2.7V-3.6V
x1/x2/x4
24-ball
N25Q128A13EF740E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13EF740F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13EF840E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13EF840F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13EF8A0F
Serial NOR Flash
N25Q
128Mb
-40C to +125C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13ESE40E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13ESE40F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13ESE40G
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13ESEA0F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13ESEH0E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO8 Wide
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q128A13ESF40E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q128A13ESF40F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q128A13ESF40G
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q128A13ESFA0F
Serial NOR Flash
N25Q
128Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q128A13ESFH0E
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q128A13ESFH0F
Serial NOR Flash
N25Q
128Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q128A13EV740
Serial NOR Flash
N25Q
128Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1/x2/x4
n/a
N25Q128A13EV741
Serial NOR Flash
N25Q
128Mb
-40C to +85C
KGD
Embedded
2.7V-3.6V
x1/x2/x4
n/a
N25Q256A11E1240E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q256A11E1240F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q256A11E1241E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q256A11E1241F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q256A11EF840E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q256A11EF840F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
V-PDFN-8
Embedded
1.7V-2.0V
x1/x2/x4
8-pin
N25Q256A11ESF40F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q256A11ESF40G
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q256A13E1240E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A13E1240F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A13E1241E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A13E1241F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A13E12A0F
Serial NOR Flash
N25Q
256Mb
-40C to +125C
T-PBGA
Automotive
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A13EF840E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q256A13EF840F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q256A13EF8A0F
Serial NOR Flash
N25Q
256Mb
-40C to +125C
V-PDFN-8
Automotive
2.7V-3.6V
x1/x2/x4
8-pin
N25Q256A13ESF40F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A13ESF40G
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A13ESFA0F
Serial NOR Flash
N25Q
256Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A13ESFH0F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A33E1241E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A33E1241F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A33EF840E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q256A33EF840F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q256A73ESF40F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A73ESF40G
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A81ESF40F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q256A81ESF40G
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q256A83E1240E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A83E1240F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A83E1241E
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A83E1241F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q256A83ESF40F
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A83ESF40G
Serial NOR Flash
N25Q
256Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q256A83ESFA0F
Serial NOR Flash
N25Q
256Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A11G1240E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q512A11G1240F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
1.7V-2.0V
x1/x2/x4
24-ball
N25Q512A11GSF40F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q512A11GSF40G
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q512A13G1240E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A13G1240F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A13G1241E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A13G1241F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A13G12A0F
Serial NOR Flash
N25Q
512Mb
-40C to +125C
T-PBGA
Automotive
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A13GF840E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q512A13GF840F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
V-PDFN-8
Embedded
2.7V-3.6V
x1/x2/x4
8-pin
N25Q512A13GSF40F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A13GSF40G
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A13GSFA0F
Serial NOR Flash
N25Q
512Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A13GSFH0E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A81GSF40F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q512A81GSF40G
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
1.7V-2.0V
x1/x2/x4
16-pin
N25Q512A83G1240E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A83G1240F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A83G1241E
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A83G1241F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
T-PBGA
Embedded
2.7V-3.6V
x1/x2/x4
24-ball
N25Q512A83GSF40F
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A83GSF40G
Serial NOR Flash
N25Q
512Mb
-40C to +85C
SO16 Wide
Embedded
2.7V-3.6V
x1/x2/x4
16-pin
N25Q512A83GSFA0F
Serial NOR Flash
N25Q
512Mb
-40C to +125C
SO16 Wide
Automotive
2.7V-3.6V
x1/x2/x4
16-pin
PC28F00AM29EWHA
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F00AM29EWHB
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F00AM29EWHD
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F00AM29EWLA
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F00AM29EWLE
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F00AP30BFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F00AP30EFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F00AP30TFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F00AP33BFA
Parallel NOR Flash
P33
1Gb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F00AP33EFA
Parallel NOR Flash
P33
1Gb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F00AP33TFA
Parallel NOR Flash
P33
1Gb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F00BM29EWHA
Parallel NOR Flash
M29EW
2Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F00BP30EFA
Parallel NOR Flash
P30
2Gb
-40C to +85C
Easy BGA
Embedded
1.7V-3.6V
x16
64-ball
PC28F00BP33EFA
Parallel NOR Flash
P33
2Gb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x16
64-ball
PC28F064M29EWBA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWBX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWHA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWHX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWLA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWLX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWTA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWTX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F064M29EWTY
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128J3F75A
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128J3F75B
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128J3F75D
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128M29EWHF
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128M29EWHX
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128M29EWLA
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128M29EWLX
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F128P30BF65A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F128P30BF65E
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F128P30TF65A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F128P30TF65B
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F128P33BF60A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F128P33BF60D
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F128P33TF60A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F128P33TF60B
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F128P33TF60E
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256J3F95A
Parallel NOR Flash
J3
256Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256M29EWHA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256M29EWHB
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256M29EWHD
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256M29EWLA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256M29EWLB
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256M29EWLD
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F256P30BFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30BFB
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30BFE
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30BFF
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30BFP
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30BFR
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30T85A
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30T85B
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30TFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P30TFE
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F256P33BFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33BFB
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33BFE
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33BFF
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33BFP
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33BFR
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33TFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F256P33TFE
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F320J3F75A
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F320J3F75B
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F320J3F75D
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F320J3F75E
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWHA
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWHB
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWHD
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWHE
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWLA
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWLB
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512M29EWLE
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F512P30BFA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F512P30BFB
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F512P30EFA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F512P30EFB
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F512P30TFA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F512P30TFB
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F512P33BFD
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F512P33EFA
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F512P33TFA
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F640J3F75A
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F640J3F75B
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F640J3F75D
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F640J3F75E
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
PC28F640P30BF65A
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F640P30BF65B
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F640P30TF65B
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC28F640P33BF60A
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F640P33BF60D
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC28F640P33TF60A
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC48F4400P0TB0EA
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC48F4400P0TB0ED
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC48F4400P0TB0EE
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC48F4400P0TB0EH
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
PC48F4400P0VB0EA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC48F4400P0VB0EB
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC48F4400P0VB0EE
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PC48F4400P0VB0EF
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
PF48F3000P0XBQ0A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Quad+ BGA
Embedded
2.3V-3.6V
x16
88-ball
PF48F3000P0ZBQ0A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F3000P0ZBQEA
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F3000P0ZTQ0A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F3000P0ZTQEA
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0XBQ0A
Parallel NOR Flash
P33
256Mb
-40C to +85C
Quad+ BGA
Embedded
2.3V-3.6V
x16
88-ball
PF48F4000P0ZBQ0A
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0ZBQEA
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0ZBQEF
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0ZTQ0A
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0ZTQ0B
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0ZTQED
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4000P0ZTQEJ
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4400P0TBQ0A
Parallel NOR Flash
P33
512Mb
-40C to +85C
Quad+ BGA
Embedded
2.3V-3.6V
x16
88-ball
PF48F4400P0VBQ0A
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4400P0VBQEA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4400P0VBQEE
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4400P0VBQEF
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PF48F4400P0VBQEK
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
PZ28F032M29EWBA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F032M29EWBB
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F032M29EWLA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F032M29EWTA
Parallel NOR Flash
M29EW
32Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWBA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWBB
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWBX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWHA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWHX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWLA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWLX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWTA
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
PZ28F064M29EWTX
Parallel NOR Flash
M29EW
64Mb
-40C to +85C
BGA
Embedded
2.7V-3.6V
x8/x16
48-ball
RC28F00AM29EWHA
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F00AM29EWHB
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F00AM29EWLA
Parallel NOR Flash
M29EW
1Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F00AP30BFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F00AP30TFA
Parallel NOR Flash
P30
1Gb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F00BM29EWHA
Parallel NOR Flash
M29EW
2Gb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128J3D75A
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128J3D75B
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128J3F75A
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128J3F75B
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128J3F75D
Parallel NOR Flash
J3
128Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128M29EWHF
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128M29EWLA
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F128P30B85A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F128P30BF65A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F128P30T85A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F128P33B85A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F128P33BF60A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F128P33T85A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F128P33TF60A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256J3D95A
Parallel NOR Flash
J3
256Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F256J3D95B
Parallel NOR Flash
J3
256Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F256J3F95A
Parallel NOR Flash
J3
256Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F256M29EWHA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F256M29EWHB
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F256M29EWLA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F256P30B85A
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30B85B
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30B85D
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30BFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30BFE
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30T85A
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30T85B
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30TFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30TFB
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30TFE
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P30TFF
Parallel NOR Flash
P30
256Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F256P33B85A
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33B85B
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33BFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33BFB
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33BFE
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33BFF
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33T85A
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33T85B
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33TFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F256P33TFE
Parallel NOR Flash
P33
256Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F320J3D75A
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F320J3D75B
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F320J3D75D
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F320J3D75E
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F320J3F75A
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F320J3F75B
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F320J3F75D
Parallel NOR Flash
J3
32Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F512M29EWHA
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F512M29EWHB
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F512M29EWLA
Parallel NOR Flash
M29EW
512Mb
-40C to +85C
FBGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F640J3D75A
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F640J3D75B
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F640J3D75D
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F640J3F75A
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F640J3F75B
Parallel NOR Flash
J3
64Mb
-40C to +85C
Easy BGA
Embedded
2.7V-3.6V
x8/x16
64-ball
RC28F640P30B85A
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P30B85B
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P30BF65A
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P30BF65B
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P30T85A
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P30T85B
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P30TF65A
Parallel NOR Flash
P30
64Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC28F640P33B85A
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F640P33BF60A
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F640P33T85A
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC28F640P33TF60A
Parallel NOR Flash
P33
64Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC48F4400P0TB00A
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC48F4400P0TB0EA
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC48F4400P0TB0EJ
Parallel NOR Flash
P33
512Mb
-40C to +85C
Easy BGA
Embedded
2.3V-3.6V
x16
64-ball
RC48F4400P0VB00A
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-2.0V
x16
64-ball
RC48F4400P0VB0EA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-3.6V
x16
64-ball
RC48F4400P0VB0EJ
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-3.6V
x16
64-ball
RC48F4400P0VT00A
Parallel NOR Flash
P30
512Mb
-40C to +85C
Easy BGA
Embedded
1.7V-3.6V
x16
64-ball
RD48F2000P0ZBQ0A
Parallel NOR Flash
P30
64Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F3000P0XBQ0A
Parallel NOR Flash
P33
128Mb
-40C to +85C
Quad+ BGA
Embedded
2.3V-3.6V
x16
88-ball
RD48F3000P0ZBQ0A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F3000P0ZBQEA
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F3000P0ZTQ0A
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F3000P0ZTQEA
Parallel NOR Flash
P30
128Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F4000P0XBQ0A
Parallel NOR Flash
P33
256Mb
-40C to +85C
Quad+ BGA
Embedded
2.3V-3.6V
x16
88-ball
RD48F4000P0ZBQ0A
Parallel NOR Flash
P30
256Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F4400P0TBQ0A
Parallel NOR Flash
P33
512Mb
-40C to +85C
Quad+ BGA
Embedded
2.3V-3.6V
x16
88-ball
RD48F4400P0VBQ0A
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F4400P0VBQ0B
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F4400P0VBQEA
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F4400P0VBQEJ
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
RD48F4400P0VTQ0A
Parallel NOR Flash
P30
512Mb
-40C to +85C
Quad+ BGA
Embedded
1.7V-2.0V
x16
88-ball
TE28F128J3D75A
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F128J3D75B
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F128J3F75A
Parallel NOR Flash
J3
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F128M29EWLA
Parallel NOR Flash
M29EW
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F128P30B85A
Parallel NOR Flash
P30
128Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F128P30T85A
Parallel NOR Flash
P30
128Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F128P33B85A
Parallel NOR Flash
P33
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F128P33T85A
Parallel NOR Flash
P33
128Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F256J3D95A
Parallel NOR Flash
J3
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F256J3D95B
Parallel NOR Flash
J3
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F256J3F105A
Parallel NOR Flash
J3
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F256M29EWLA
Parallel NOR Flash
M29EW
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F256P30B95A
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F256P30B95B
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F256P30BFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F256P30T95A
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F256P30TFA
Parallel NOR Flash
P30
256Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F256P33B95A
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F256P33B95B
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F256P33BFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F256P33T95A
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F256P33T95B
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F256P33TFA
Parallel NOR Flash
P33
256Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F320J3C110B
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F320J3D75A
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F320J3D75B
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F320J3D75D
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F320J3F105A
Parallel NOR Flash
J3
32Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F640J3D75A
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F640J3D75B
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F640J3F105A
Parallel NOR Flash
J3
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x8/x16
56-pin
TE28F640P30B85A
Parallel NOR Flash
P30
64Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F640P30T85A
Parallel NOR Flash
P30
64Mb
-40C to +85C
TSOP
Embedded
1.7V-2.0V
x16
56-pin
TE28F640P33B85A
Parallel NOR Flash
P33
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
TE28F640P33T85A
Parallel NOR Flash
P33
64Mb
-40C to +85C
TSOP
Embedded
2.7V-3.6V
x16
56-pin
MT25QL01GBBB1EW9-0SIT
1Gb
x1/x2/x4
2.7V-3.6V
W-PDFN-8
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL01GBBB8E12-0AAT
1Gb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +105C
Automotive
MT25QL01GBBB8E12-0AUT
1Gb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +125C
Automotive
MT25QL01GBBB8E12-0SIT
1Gb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL01GBBB8ESF-0AAT
1Gb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +105C
Automotive
MT25QL01GBBB8ESF-0SIT
1Gb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL02GCBB8E12-0AAT
2Gb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +105C
Automotive
MT25QL02GCBB8E12-0AUT
2Gb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Stacked
-40C to +125C
Automotive
MT25QL02GCBB8E12-0SIT
2Gb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA1ESE-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
SO8 Wide
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA1ESE-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
SO8 Wide
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA1EW7-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
W-PDFN-8
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA1EW9-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
W-PDFN-8
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA8E12-0AAT
128Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Standard
-40C to +105C
Automotive
MT25QL128ABA8E12-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA8ESF-0AAT
128Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +105C
Automotive
MT25QL128ABA8ESF-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABA8ESF-0SIT
128Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL128ABB1ESE-0AUT
128Mb
x1/x2/x4
2.7V-3.6V
SO8 Wide
16-pin
133 MHz
Multi I/O
-40C to +125C
Automotive
MT25QL128ABB8E12-0AUT
128Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +125C
Automotive
MT25QL128ABB8ESF-0AUT
128Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +125C
Automotive
MT25QL256ABA1EW7-0SIT
256Mb
x1/x2/x4
2.7V-3.6V
W-PDFN-8
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL256ABA1EW9-0SIT
256Mb
x1/x2/x4
2.7V-3.6V
W-PDFN-8
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL256ABA8E12-0AAT
256Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Standard
-40C to +105C
Automotive
MT25QL256ABA8E12-0AUT
256Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +125C
Automotive
MT25QL256ABA8E12-1SIT
256Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O Secure
-40C to +85C
Embedded
MT25QL256ABA8ESF-0AAT
256Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Standard
-40C to +105C
Automotive
MT25QL256ABA8ESF-0SIT
256Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL512ABB1EW9-0SIT
512Mb
x1/x2/x4
2.7V-3.6V
W-PDFN-8
8-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL512ABB8E12-0AAT
512Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +105C
Automotive
MT25QL512ABB8E12-0AUT
512Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +125C
Automotive
MT25QL512ABB8E12-0SIT
512Mb
x1/x2/x4
2.7V-3.6V
T-PBGA
24-ball
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL512ABB8ESF-0AAT
512Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +105C
Automotive
MT25QL512ABB8ESF-0SIT
512Mb
x1/x2/x4
2.7V-3.6V
SO16 Wide
16-pin
133 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU01GBBB1EW9-0SIT
1Gb
x1/x2/x4
1.7V-2.0V
W-PDFN-8
8-pin
166 MHz
Stacked
-40C to +85C
Embedded
MT25QU01GBBB8E12-0AAT
1Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +105C
Automotive
MT25QU01GBBB8E12-0AUT
1Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +125C
Automotive
MT25QU01GBBB8E12-0SIT
1Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Stacked
-40C to +85C
Embedded
MT25QU01GBBB8ESF-0AAT
1Gb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Stacked
-40C to +105C
Automotive
MT25QU01GBBB8ESF-0SIT
1Gb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Stacked
-40C to +85C
Embedded
MT25QU02GCBB8E12-0AAT
2Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +105C
Automotive
MT25QU02GCBB8E12-0AUT
2Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
133 MHz
Stacked
-40C to +125C
Automotive
MT25QU02GCBB8E12-0SIT
2Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU02GCBB8E12-0SIT
2Gb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABA1ESE-0SIT
128Mb
x1/x2/x4
1.7V-2.0V
SO8 Wide
8-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABA1EW7-0SIT
128Mb
x1/x2/x4
1.7V-2.0V
W-PDFN-8
8-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABA1EW9-0SIT
128Mb
x1/x2/x4
1.7V-2.0V
W-PDFN-8
8-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABA8E12-0AAT
128Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +105C
Automotive
MT25QU128ABA8E12-0SIT
128Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABA8E54-0SIT
128Mb
x1/x2/x4
1.7V-2.0V
WLCSP
15-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABA8ESF-0AAT
128Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Multi I/O
-40C to +105C
Automotive
MT25QU128ABA8ESF-0SIT
128Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU128ABB1ESE-0AUT
128Mb
x1/x2/x4
1.7V-2.0V
SO8 Wide
16-pin
166 MHz
Multi I/O
-40C to +125C
Automotive
MT25QU128ABB8E12-0AUT
128Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +125C
Automotive
MT25QU128ABB8ESF-0AUT
128Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Multi I/O
-40C to +125C
Automotive
MT25QU256ABA1EW7-0SIT
256Mb
x1/x2/x4
1.7V-2.0V
W-PDFN-8
8-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU256ABA1EW9-0SIT
256Mb
x1/x2/x4
1.7V-2.0V
W-PDFN-8
8-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU256ABA8E12-0AAT
256Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Standard
-40C to +105C
Automotive
MT25QU256ABA8E12-0AUT
256Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +125C
Automotive
MT25QU256ABA8E12-1SIT
256Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O Secure
-40C to +85C
Embedded
MT25QU256ABA8E12-MAAT
256Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O RPMC
-40C to +105C
Automotive
MT25QU256ABA8E55-0SIT
256Mb
x1/x2/x4
1.7V-2.0V
WLCSP
23-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU256ABA8ESF-0AAT
256Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Standard
-40C to +105C
Automotive
MT25QU256ABA8ESF-0AAT
256Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Standard
-40C to +105C
Automotive
MT25QU256ABA8ESF-0SIT
256Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU512ABB1EW9-0SIT
512Mb
x1/x2/x4
1.7V-2.0V
W-PDFN-8
8-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU512ABB8E12-0AAT
512Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +105C
Automotive
MT25QU512ABB8E12-0AUT
512Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +125C
Automotive
MT25QU512ABB8E12-0SIT
512Mb
x1/x2/x4
1.7V-2.0V
T-PBGA
24-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU512ABB8E56-0SIT
512Mb
x1/x2/x4
1.7V-2.0V
WLCSP
27-ball
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QU512ABB8ESF-0AAT
512Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Multi I/O
-40C to +105C
Automotive
MT25QU512ABB8ESF-0SIT
512Mb
x1/x2/x4
1.7V-2.0V
SO16 Wide
16-pin
166 MHz
Multi I/O
-40C to +85C
Embedded
MT25QL01GBBB8E12-0AAT
MT25Q
1Gb
x1/x2/x4
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL01GBBB8E12-0AUT
MT25Q
1Gb
x1/x2/x4
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL01GBBB8ESF-0AAT
MT25Q
1Gb
x1/x2/x4
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25QL02GCBB8E12-0AAT
MT25Q
2Gb
x1/x2/x4
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL02GCBB8E12-0AUT
MT25Q
2Gb
x1/x2/x4
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL128ABA8E12-0AAT
MT25Q
128Mb
x1/x2/x4
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL128ABA8ESF-0AAT
MT25Q
128Mb
x1/x2/x4
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25QL128ABB1ESE-0AUT
MT25Q
128Mb
x1/x2/x4
133 MHz
-40C to +125C
SO8 Wide
2.7V-3.6V
16-pin
Automotive
MT25QL128ABB8E12-0AUT
MT25Q
128Mb
x1/x2/x4
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL128ABB8ESF-0AUT
MT25Q
128Mb
x1/x2/x4
133 MHz
-40C to +125C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25QL256ABA8E12-0AAT
MT25Q
256Mb
x1/x2/x4
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL256ABA8E12-0AUT
MT25Q
256Mb
x1/x2/x4
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL256ABA8ESF-0AAT
MT25Q
256Mb
x1/x2/x4
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25QL512ABB8E12-0AAT
MT25Q
512Mb
x1/x2/x4
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL512ABB8E12-0AUT
MT25Q
512Mb
x1/x2/x4
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25QL512ABB8ESF-0AAT
MT25Q
512Mb
x1/x2/x4
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25QU01GBBB8E12-0AAT
MT25Q
1Gb
x1/x2/x4
166 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU01GBBB8E12-0AUT
MT25Q
1Gb
x1/x2/x4
166 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU01GBBB8ESF-0AAT
MT25Q
1Gb
x1/x2/x4
166 MHz
-40C to +105C
SO16 Wide
1.7V-2.0V
16-pin
Automotive
MT25QU02GCBB8E12-0AAT
MT25Q
2Gb
x1/x2/x4
166 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU02GCBB8E12-0AUT
MT25Q
2Gb
x1/x2/x4
133 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU128ABA8E12-0AAT
MT25Q
128Mb
x1/x2/x4
166 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU128ABA8ESF-0AAT
MT25Q
128Mb
x1/x2/x4
166 MHz
-40C to +105C
SO16 Wide
1.7V-2.0V
16-pin
Automotive
MT25QU128ABB1ESE-0AUT
MT25Q
128Mb
x1/x2/x4
166 MHz
-40C to +125C
SO8 Wide
1.7V-2.0V
16-pin
Automotive
MT25QU128ABB8E12-0AUT
MT25Q
128Mb
x1/x2/x4
166 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU128ABB8ESF-0AUT
MT25Q
128Mb
x1/x2/x4
166 MHz
-40C to +125C
SO16 Wide
1.7V-2.0V
16-pin
Automotive
MT25QU256ABA8E12-0AAT
MT25Q
256Mb
x1/x2/x4
166 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU256ABA8E12-0AUT
MT25Q
256Mb
x1/x2/x4
166 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU256ABA8E12-MAAT
MT25Q
256Mb
x1/x2/x4
166 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU256ABA8ESF-0AAT
MT25Q
256Mb
x1/x2/x4
166 MHz
-40C to +105C
SO16 Wide
1.7V-2.0V
16-pin
Automotive
MT25QU256ABA8ESF-0AAT
MT25Q
256Mb
x1/x2/x4
166 MHz
-40C to +105C
SO16 Wide
1.7V-2.0V
16-pin
Automotive
MT25QU512ABB8E12-0AAT
MT25Q
512Mb
x1/x2/x4
166 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU512ABB8E12-0AUT
MT25Q
512Mb
x1/x2/x4
166 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT25QU512ABB8ESF-0AAT
MT25Q
512Mb
x1/x2/x4
166 MHz
-40C to +105C
SO16 Wide
1.7V-2.0V
16-pin
Automotive
MT25TL01GBBB8E12-0AAT
MT25T
1Gb
x8
133 MHz
-40C to +105C
TBGA
2.7V-3.6V
24-ball
Automotive
MT25TL01GBBB8ESF-0AAT
MT25T
1Gb
x8
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25TL01GHBB8E12-0AAT
MT25T
1Gb
x8
133 MHz
-40C to +105C
TBGA
2.7V-3.6V
24-ball
Automotive
MT25TL01GHBB8ESF-0AAT
MT25T
1Gb
x8
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25TL256BBA8ESF-0AAT
MT25T
256Mb
x8
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25TL256HBA8ESF-0AAT
MT25T
256Mb
x8
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25TL512BBA8E12-0AAT
MT25T
512Mb
x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25TL512BBA8ESF-0AAT
MT25T
512Mb
x8
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT25TL512HBA8E12-0AAT
MT25T
512Mb
x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT25TL512HBA8ESF-0AAT
MT25T
512Mb
x8
133 MHz
-40C to +105C
SO16 Wide
2.7V-3.6V
16-pin
Automotive
MT28EW01GABA1HJS-0AAT
EW-Series
1Gb
x8/x16
105ns
-40C to +105C
TSOP
2.7V-3.6V
56-pin
Automotive
MT28EW01GABA1HPC-0AAT
EW-Series
1Gb
x8/x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT28EW01GABA1LJS-0AAT
EW-Series
1Gb
x8/x16
105ns
-40C to +105C
TSOP
2.7V-3.6V
56-pin
Automotive
MT28EW01GABA1LPC-0AAT
EW-Series
1Gb
x8/x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT28EW512ABA1HJS-0AAT
EW-Series
512Mb
x8/x16
105ns
-40C to +105C
TSOP
2.7V-3.6V
56-pin
Automotive
MT28EW512ABA1HPC-0AAT
EW-Series
512Mb
x8/x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT28EW512ABA1LJS-0AAT
EW-Series
512Mb
x8/x16
105ns
-40C to +105C
TSOP
2.7V-3.6V
56-pin
Automotive
MT28EW512ABA1LPC-0AAT
EW-Series
512Mb
x8/x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT28FW01GABA1LPC-0AAT
FW-Series
1Gb
x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT28FW02GBBA1HPC-0AAT
FW-Series
2Gb
x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-pin
Automotive
MT28FW02GBBA1LPC-0AAT
FW-Series
2Gb
x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT28FW512ABA1LJS-0AAT
FW-Series
512Mb
x16
105ns
-40C to +105C
TSOP
2.7V-3.6V
56-pin
Automotive
MT28FW512ABA1LPC-0AAT
FW-Series
512Mb
x16
105ns
-40C to +105C
LBGA
2.7V-3.6V
64-ball
Automotive
MT35XL01GBBA1G12-0AAT
MT35X
1Gb
x1/x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL01GBBA2G12-0AAT
MT35X
1Gb
x1/x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL256ABA1G12-0AAT
MT35X
256Mb
x1/x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL256ABA2G12-0AAT
MT35X
256Mb
x1/x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL512ABA1G12-0AAT
MT35X
512Mb
x1/x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL512ABA1G12-0AUT
MT35X
512Mb
x1/x8
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL512ABA2G12-0AAT
MT35X
512Mb
x1/x8
133 MHz
-40C to +105C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XL512ABA2G12-0AUT
MT35X
512Mb
x1/x8
133 MHz
-40C to +125C
T-PBGA
2.7V-3.6V
24-ball
Automotive
MT35XU01GBBA1G12-0AAT
MT35X
1Gb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU01GBBA1G12-0AUT
MT35X
1Gb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU01GBBA2G12-0AAT
MT35X
1Gb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU01GBBA2G12-0AUT
MT35X
1Gb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU02GCBA1G12-0AAT
MT35X
2Gb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU02GCBA1G12-0AUT
MT35X
2Gb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU02GCBA2G12-0AAT
MT35X
2Gb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU02GCBA2G12-0AUT
MT35X
2Gb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU256ABA1G12-0AAT
MT35X
256Mb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU256ABA1G12-0AUT
MT35X
256Mb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU256ABA2G12-0AAT
MT35X
256Mb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU256ABA2G12-0AUT
MT35X
256Mb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU512ABA1G12-0AAT
MT35X
512Mb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU512ABA1G12-0AUT
MT35X
512Mb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU512ABA2G12-0AAT
MT35X
512Mb
x1/x8
200 MHz
-40C to +105C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT35XU512ABA2G12-0AUT
MT35X
512Mb
x1/x8
200 MHz
-40C to +125C
T-PBGA
1.7V-2.0V
24-ball
Automotive
MT28EW01GABA1HJS-0AAT
1Gb
x8/x16
105ns
-40C to +105C
TSOP
Automotive
2.7V-3.6V
56-pin
EW-Series
MT28EW01GABA1HJS-0SIT
1Gb
x8/x16
100ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW01GABA1HPC-0AAT
1Gb
x8/x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
EW-Series
MT28EW01GABA1HPC-0SIT
1Gb
x8/x16
100ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW01GABA1LJS-0AAT
1Gb
x8/x16
105ns
-40C to +105C
TSOP
Automotive
2.7V-3.6V
56-pin
EW-Series
MT28EW01GABA1LJS-0SIT
1Gb
x8/x16
100ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW01GABA1LPC-0AAT
1Gb
x8/x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
EW-Series
MT28EW01GABA1LPC-0SIT
1Gb
x8/x16
100ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW128ABA1HJS-0SIT
128Mb
x8/x16
75ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW128ABA1HPC-0SIT
128Mb
x8/x16
75ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW128ABA1HPN-0SIT
128Mb
x8/x16
75ns
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
56-ball
EW-Series
MT28EW128ABA1LJS-0SIT
128Mb
x8/x16
75ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW128ABA1LPC-0SIT
128Mb
x8/x16
75ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW128ABA1LPN-0SIT
128Mb
x8/x16
75ns
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
56-ball
EW-Series
MT28EW256ABA1HJS-0SIT
256Mb
x8/x16
75ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW256ABA1HPC-0SIT
256Mb
x8/x16
75ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW256ABA1HPN-0SIT
256Mb
x8/x16
75ns
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
56-ball
EW-Series
MT28EW256ABA1LJS-0SIT
256Mb
x8/x16
75ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW256ABA1LPC-0SIT
256Mb
x8/x16
75ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW256ABA1LPN-0SIT
256Mb
x8/x16
75ns
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
56-ball
EW-Series
MT28EW512ABA1HJS-0AAT
512Mb
x8/x16
105ns
-40C to +105C
TSOP
Automotive
2.7V-3.6V
56-pin
EW-Series
MT28EW512ABA1HJS-0SIT
512Mb
x8/x16
100ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Seri es
MT28EW512ABA1HPC-0AAT
512Mb
x8/x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
EW-Series
MT28EW512ABA1HPC-0SIT
512Mb
x8/x16
100ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW512ABA1HPN-0SIT
512Mb
x8/x16
100ns
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
56-ball
EW-Series
MT28EW512ABA1LJS-0AAT
512Mb
x8/x16
105ns
-40C to +105C
TSOP
Automotive
2.7V-3.6V
56-pin
EW-Series
MT28EW512ABA1LJS-0SIT
512Mb
x8/x16
100ns
-40C to +85C
TSOP
Embedded
2.7V-3.6V
56-pin
EW-Series
MT28EW512ABA1LPC-0AAT
512Mb
x8/x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
EW-Series
MT28EW512ABA1LPC-0SIT
512Mb
x8/x16
100ns
-40C to +85C
LBGA
Embedded
2.7V-3.6V
64-ball
EW-Series
MT28EW512ABA1LPN-0SIT
512Mb
x8/x16
100ns
-40C to +85C
VFBGA
Embedded
2.7V-3.6V
56-ball
EW-Series
MT28FW01GABA1LPC-0AAT
1Gb
x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
FW-Series
MT28FW02GBBA1HPC-0AAT
2Gb
x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-pin
FW-Series
MT28FW02GBBA1LPC-0AAT
2Gb
x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
FW-Series
MT28FW512ABA1LJS-0AAT
512Mb
x16
105ns
-40C to +105C
TSOP
Automotive
2.7V-3.6V
56-pin
FW-Series
MT28FW512ABA1LPC-0AAT
512Mb
x16
105ns
-40C to +105C
LBGA
Automotive
2.7V-3.6V
64-ball
FW-Series
MT25QL256ABA8E12-1SIT
256Mb
2.7V-3.6V
133 MHz
-40C to +85C
Embedded
Multi I/O Secure
x1/x2/x4
T-PBGA
24-ball
MT25QU256ABA8E12-1SIT
256Mb
1.7V-2.0V
166 MHz
-40C to +85C
Embedded
Multi I/O Secure
x1/x2/x4
T-PBGA
24-ball
MT25QU256ABA8E12-MAAT
256Mb
1.7V-2.0V
166 MHz
-40C to +105C
Automotive
Multi I/O RPMC
x1/x2/x4
T-PBGA
24-ball
MT25QL01GBBB1EW9-0SIT
1Gb
2.7V-3.6V
133 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL01GBBB8E12-0AAT
1Gb
2.7V-3.6V
133 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL01GBBB8E12-0AUT
1Gb
2.7V-3.6V
133 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL01GBBB8E12-0SIT
1Gb
2.7V-3.6V
133 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QL01GBBB8ESF-0AAT
1Gb
2.7V-3.6V
133 MHz
-40C to +105C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QL01GBBB8ESF-0SIT
1Gb
2.7V-3.6V
133 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QL02GCBB8E12-0AAT
2Gb
2.7V-3.6V
133 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL02GCBB8E12-0AUT
2Gb
2.7V-3.6V
133 MHz
-40C to +125C
T-PBGA
Automotive
Stacked
x1/x2/x4
24-ball
MT25QL02GCBB8E12-0SIT
2Gb
2.7V-3.6V
133 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QL128ABA1ESE-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
SO8 Wide
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL128ABA1ESE-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
SO8 Wide
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL128ABA1EW7-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL128ABA1EW9-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL128ABA8E12-0AAT
128Mb
2.7V-3.6V
133 MHz
-40C to +105C
T-PBGA
Automotive
Standard
x1/x2/x4
24-ball
MT25QL128ABA8E12-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QL128ABA8ESF-0AAT
128Mb
2.7V-3.6V
133 MHz
-40C to +105C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QL128ABA8ESF-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QL128ABA8ESF-0SIT
128Mb
2.7V-3.6V
133 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QL128ABB1ESE-0AUT
128Mb
2.7V-3.6V
133 MHz
-40C to +125C
SO8 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QL128ABB8E12-0AUT
128Mb
2.7V-3.6V
133 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL128ABB8ESF-0AUT
128Mb
2.7V-3.6V
133 MHz
-40C to +125C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QL256ABA1EW7-0SIT
256Mb
2.7V-3.6V
133 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL256ABA1EW9-0SIT
256Mb
2.7V-3.6V
133 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL256ABA8E12-0AAT
256Mb
2.7V-3.6V
133 MHz
-40C to +105C
T-PBGA
Automotive
Standard
x1/x2/x4
24-ball
MT25QL256ABA8E12-0AUT
256Mb
2.7V-3.6V
133 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL256ABA8E12-1SIT
256Mb
2.7V-3.6V
133 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O Secure
x1/x2/x4
24-ball
MT25QL256ABA8ESF-0AAT
256Mb
2.7V-3.6V
133 MHz
-40C to +105C
SO16 Wide
Automotive
Standard
x1/x2/x4
16-pin
MT25QL256ABA8ESF-0SIT
256Mb
2.7V-3.6V
133 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QL512ABB1EW9-0SIT
512Mb
2.7V-3.6V
133 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QL512ABB8E12-0AAT
512Mb
2.7V-3.6V
133 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL512ABB8E12-0AUT
512Mb
2.7V-3.6V
133 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QL512ABB8E12-0SIT
512Mb
2.7V-3.6V
133 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QL512ABB8ESF-0AAT
512Mb
2.7V-3.6V
133 MHz
-40C to +105C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QL512ABB8ESF-0SIT
512Mb
2.7V-3.6V
133 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QU01GBBB1EW9-0SIT
1Gb
1.7V-2.0V
166 MHz
-40C to +85C
W-PDFN-8
Embedded
Stacked
x1/x2/x4
8-pin
MT25QU01GBBB8E12-0AAT
1Gb
1.7V-2.0V
166 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU01GBBB8E12-0AUT
1Gb
1.7V-2.0V
166 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU01GBBB8E12-0SIT
1Gb
1.7V-2.0V
166 MHz
-40C to +85C
T-PBGA
Embedded
Stacked
x1/x2/x4
24-ball
MT25QU01GBBB8ESF-0AAT
1Gb
1.7V-2.0V
166 MHz
-40C to +105C
SO16 Wide
Automotive
Stacked
x1/x2/x4
16-pin
MT25QU01GBBB8ESF-0SIT
1Gb
1.7V-2.0V
166 MHz
-40C to +85C
SO16 Wide
Embedded
Stacked
x1/x2/x4
16-pin
MT25QU02GCBB8E12-0AAT
2Gb
1.7V-2.0V
166 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU02GCBB8E12-0AUT
2Gb
1.7V-2.0V
133 MHz
-40C to +125C
T-PBGA
Automotive
Stacked
x1/x2/x4
24-ball
MT25QU02GCBB8E12-0SIT
2Gb
1.7V-2.0V
166 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QU02GCBB8E12-0SIT
2Gb
1.7V-2.0V
166 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QU128ABA1ESE-0SIT
128Mb
1.7V-2.0V
166 MHz
-40C to +85C
SO8 Wide
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QU128ABA1EW7-0SIT
128Mb
1.7V-2.0V
166 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QU128ABA1EW9-0SIT
128Mb
1.7V-2.0V
166 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QU128ABA8E12-0AAT
128Mb
1.7V-2.0V
166 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU128ABA8E12-0SIT
128Mb
1.7V-2.0V
166 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QU128ABA8E54-0SIT
128Mb
1.7V-2.0V
166 MHz
-40C to +85C
WLCSP
Embedded
Multi I/O
x1/x2/x4
15-ball
MT25QU128ABA8ESF-0AAT
128Mb
1.7V-2.0V
166 MHz
-40C to +105C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QU128ABA8ESF-0SIT
128Mb
1.7V-2.0V
166 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QU128ABB1ESE-0AUT
128Mb
1.7V-2.0V
166 MHz
-40C to +125C
SO8 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QU128ABB8E12-0AUT
128Mb
1.7V-2.0V
166 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU128ABB8ESF-0AUT
128Mb
1.7V-2.0V
166 MHz
-40C to +125C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QU256ABA1EW7-0SIT
256Mb
1.7V-2.0V
166 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QU256ABA1EW9-0SIT
256Mb
1.7V-2.0V
166 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QU256ABA8E12-0AAT
256Mb
1.7V-2.0V
166 MHz
-40C to +105C
T-PBGA
Automotive
Standard
x1/x2/x4
24-ball
MT25QU256ABA8E12-0AUT
256Mb
1.7V-2.0V
166 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU256ABA8E12-1SIT
256Mb
1.7V-2.0V
166 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O Secure
x1/x2/x4
24-ball
MT25QU256ABA8E12-MAAT
256Mb
1.7V-2.0V
166 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O RPMC
x1/x2/x4
24-ball
MT25QU256ABA8E55-0SIT
256Mb
1.7V-2.0V
166 MHz
-40C to +85C
WLCSP
Embedded
Multi I/O
x1/x2/x4
23-ball
MT25QU256ABA8ESF-0AAT
256Mb
1.7V-2.0V
166 MHz
-40C to +105C
SO16 Wide
Automotive
Standard
x1/x2/x4
16-pin
MT25QU256ABA8ESF-0AAT
256Mb
1.7V-2.0V
166 MHz
-40C to +105C
SO16 Wide
Automotive
Standard
x1/x2/x4
16-pin
MT25QU256ABA8ESF-0SIT
256Mb
1.7V-2.0V
166 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25QU512ABB1EW9-0SIT
512Mb
1.7V-2.0V
166 MHz
-40C to +85C
W-PDFN-8
Embedded
Multi I/O
x1/x2/x4
8-pin
MT25QU512ABB8E12-0AAT
512Mb
1.7V-2.0V
166 MHz
-40C to +105C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU512ABB8E12-0AUT
512Mb
1.7V-2.0V
166 MHz
-40C to +125C
T-PBGA
Automotive
Multi I/O
x1/x2/x4
24-ball
MT25QU512ABB8E12-0SIT
512Mb
1.7V-2.0V
166 MHz
-40C to +85C
T-PBGA
Embedded
Multi I/O
x1/x2/x4
24-ball
MT25QU512ABB8E56-0SIT
512Mb
1.7V-2.0V
166 MHz
-40C to +85C
WLCSP
Embedded
Multi I/O
x1/x2/x4
27-ball
MT25QU512ABB8ESF-0AAT
512Mb
1.7V-2.0V
166 MHz
-40C to +105C
SO16 Wide
Automotive
Multi I/O
x1/x2/x4
16-pin
MT25QU512ABB8ESF-0SIT
512Mb
1.7V-2.0V
166 MHz
-40C to +85C
SO16 Wide
Embedded
Multi I/O
x1/x2/x4
16-pin
MT25TL01GBBB8E12-0AAT
1Gb
133 MHz
-40C to +105C
TBGA
Automotive
1 CS, 1 SCK
x8
2.7V-3.6V
24-ball
MT25TL01GBBB8ESF-0AAT
1Gb
133 MHz
-40C to +105C
SO16 Wide
Automotive
1 CS, 1 SCK
x8
2.7V-3.6V
16-pin
MT25TL01GHBB8E12-0AAT
1Gb
133 MHz
-40C to +105C
TBGA
Automotive
2 CS, 2 SCK
x8
2.7V-3.6V
24-ball
MT25TL01GHBB8ESF-0AAT
1Gb
133 MHz
-40C to +105C
SO16 Wide
Automotive
2 CS, 2 SCK
x8
2.7V-3.6V
16-pin
MT25TL256BBA8ESF-0AAT
256Mb
133 MHz
-40C to +105C
SO16 Wide
Automotive
1 CS, 1 SCK
x8
2.7V-3.6V
16-pin
MT25TL256HBA8ESF-0AAT
256Mb
133 MHz
-40C to +105C
SO16 Wide
Automotive
2 CS, 2 SCK
x8
2.7V-3.6V
16-pin
MT25TL512BBA8E12-0AAT
512Mb
133 MHz
-40C to +105C
T-PBGA
Automotive
1 CS, 1 SCK
x8
2.7V-3.6V
24-ball
MT25TL512BBA8ESF-0AAT
512Mb
133 MHz
-40C to +105C
SO16 Wide
Automotive
1 CS, 1 SCK
x8
2.7V-3.6V
16-pin
MT25TL512HBA8E12-0AAT
512Mb
133 MHz
-40C to +105C
T-PBGA
Automotive
2 CS, 2 SCK
x8
2.7V-3.6V
24-ball
MT25TL512HBA8ESF-0AAT
512Mb
133 MHz
-40C to +105C
SO16 Wide
Automotive
2 CS, 2 SCK
x8
2.7V-3.6V
16-pin
MT35XL01GBBA1G12-0AAT
1Gb
2.7V-3.6V
133 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL01GBBA1G12-0SIT
1Gb
2.7V-3.6V
133 MHz
-40C to +85C
x1 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XL01GBBA2G12-0AAT
1Gb
2.7V-3.6V
133 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL01GBBA2G12-0SIT
1Gb
2.7V-3.6V
133 MHz
-40C to +85C
x8 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XL02GCBA1G12-0SIT
2Gb
2.7V-3.6V
133 MHz
-40C to +85C
x1 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XL02GCBA2G12-0SIT
2Gb
2.7V-3.6V
133 MHz
-40C to +85C
x8 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XL256ABA1G12-0AAT
256Mb
2.7V-3.6V
133 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL256ABA2G12-0AAT
256Mb
2.7V-3.6V
133 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL512ABA1G12-0AAT
512Mb
2.7V-3.6V
133 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL512ABA1G12-0AUT
512Mb
2.7V-3.6V
133 MHz
-40C to +125C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL512ABA1G12-0SIT
512Mb
2.7V-3.6V
133 MHz
-40C to +85C
x1 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XL512ABA2G12-0AAT
512Mb
2.7V-3.6V
133 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL512ABA2G12-0AUT
512Mb
2.7V-3.6V
133 MHz
-40C to +125C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XL512ABA2G12-0SIT
512Mb
2.7V-3.6V
133 MHz
-40C to +85C
x8 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XU01GBBA1G12-0AAT
1Gb
1.7V-2.0V
200 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU01GBBA1G12-0AUT
1Gb
1.7V-2.0V
200 MHz
-40C to +125C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU01GBBA1G12-0SIT
1Gb
1.7V-2.0V
200 MHz
-40C to +85C
x1 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XU01GBBA2G12-0AAT
1Gb
1.7V-2.0V
200 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU01GBBA2G12-0AUT
1Gb
1.7V-2.0V
200 MHz
-40C to +125C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU01GBBA2G12-0SIT
1Gb
1.7V-2.0V
200 MHz
-40C to +85C
x8 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XU02GCBA1G12-0AAT
2Gb
1.7V-2.0V
200 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU02GCBA1G12-0AUT
2Gb
1.7V-2.0V
200 MHz
-40C to +125C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU02GCBA1G12-0SIT
2Gb
1.7V-2.0V
200 MHz
-40C to +85C
x1 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XU02GCBA2G12-0AAT
2Gb
1.7V-2.0V
200 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU02GCBA2G12-0AUT
2Gb
1.7V-2.0V
200 MHz
-40C to +125C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU02GCBA2G12-0SIT
2Gb
1.7V-2.0V
200 MHz
-40C to +85C
x8 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XU256ABA1G12-0AAT
256Mb
1.7V-2.0V
200 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU256ABA1G12-0AUT
256Mb
1.7V-2.0V
200 MHz
-40C to +125C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU256ABA2G12-0AAT
256Mb
1.7V-2.0V
200 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU256ABA2G12-0AUT
256Mb
1.7V-2.0V
200 MHz
-40C to +125C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU512ABA1G12-0AAT
512Mb
1.7V-2.0V
200 MHz
-40C to +105C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU512ABA1G12-0AUT
512Mb
1.7V-2.0V
200 MHz
-40C to +125C
x1 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU512ABA1G12-0SIT
512Mb
1.7V-2.0V
200 MHz
-40C to +85C
x1 Boot
Embedded
x1/x8
T-PBGA
24-ball
MT35XU512ABA2G12-0AAT
512Mb
1.7V-2.0V
200 MHz
-40C to +105C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU512ABA2G12-0AUT
512Mb
1.7V-2.0V
200 MHz
-40C to +125C
x8 Boot
Automotive
x1/x8
T-PBGA
24-ball
MT35XU512ABA2G12-0SIT
512Mb
1.7V-2.0V
200 MHz
-40C to +85C
x8 Boot
Embedded
x1/x8
T-PBGA
24-ball

Operational amplifiers are important electronic devices widely used in various electronic devices such as amplifiers, filters, analog calculators, etc. According to different functions and application requirements, operational amplifiers can be classified into various categories. Below are some common operational amplifier product classifications.1. General-purpose operational amplifier: General-purpose operational amplifiers are the most common type, with high gain, high input impedance, and low output impedance. General-purpose operational amplifiers are commonly used in signal amplification, filtering, comparison, etc., and are one of the basic components in electronic circuit design.2. Low-power operational amplifier: With the increasing demand for low power consumption in electronic devices, low-power operational amplifiers have become popular products in the market. Low-power operational amplifiers are usually manufactured using CMOS technology, with low static power consumption and low input bias current, suitable for low-power applications such as portable devices, sensor interfaces, etc.3. High-speed operational amplifier: High-speed operational amplifiers have high bandwidth and fast response speed, suitable for applications requiring high-speed signal processing, such as communication systems, data acquisition systems, etc. High-speed operational amplifiers are usually manufactured using bipolar transistors or GaAs technology, with high cutoff frequency and short rise time.4. High-precision operational amplifier: High-precision operational amplifiers have high gain accuracy, input bias current, temperature drift, and other performance indicators, suitable for applications requiring high-precision signal processing, such as precision instruments, medical devices, etc. High-precision operational amplifiers are usually manufactured using precision calibration techniques and high-quality components to ensure the accuracy and stability of the output signal.5. Low-noise operational amplifier: Low-noise operational amplifiers have low input and output noise, suitable for applications with high signal quality requirements, such as audio amplifiers, sensor interfaces, etc. Low-noise operational amplifiers typically use low-noise components and optimized circuit designs to reduce noise levels and improve signal-to-noise ratio.6. High-temperature operational amplifier: High-temperature operational amplifiers have a wide operating temperature range and stability, suitable for applications in high-temperature environments such as aerospace, automotive electronics, etc. High-temperature operational amplifiers typically use high-temperature stable materials and packaging technologies to ensure reliability and performance in extreme environments.In summary, operational amplifiers are powerful and widely used electronic devices, and different product classifications are suitable for different application scenarios and requirements. With the continuous development of electronic technology and the expansion of application fields, the product classifications of operational amplifiers are constantly enriching and improving, providing more choices and possibilities for the design and manufacturing of various electronic devices. It is hoped that this article can help readers better understand the important product classifications and characteristics of operational amplifiers, providing reference and guidance for research and applications in related fields.Operational amplifiers are important electronic devices widely used in various electronic devices such as amplifiers, filters, analog calculators, etc. According to different functions and application requirements, operational amplifiers can be classified into various categories. Below are some common operational amplifier product classifications.1. General-purpose operational amplifier: General-purpose operational amplifiers are the most common type, with high gain, high input impedance, and low output impedance. General-purpose operational amplifiers are commonly used in signal amplification, filtering, comparison, etc., and are one of the basic components in electronic circuit design.2. Low-power operational amplifier: With the increasing demand for low power consumption in electronic devices, low-power operational amplifiers have become popular products in the market. Low-power operational amplifiers are usually manufactured using CMOS technology, with low static power consumption and low input bias current, suitable for low-power applications such as portable devices, sensor interfaces, etc.3. High-speed operational amplifier: High-speed operational amplifiers have high bandwidth and fast response speed, suitable for applications requiring high-speed signal processing, such as communication systems, data acquisition systems, etc. High-speed operational amplifiers are usually manufactured using bipolar transistors or GaAs technology, with high cutoff frequency and short rise time.4. High-precision operational amplifier: High-precision operational amplifiers have high gain accuracy, input bias current, temperature drift, and other performance indicators, suitable for applications requiring high-precision signal processing, such as precision instruments, medical devices, etc. High-precision operational amplifiers are usually manufactured using precision calibration techniques and high-quality components to ensure the accuracy and stability of the output signal.5. Low-noise operational amplifier: Low-noise operational amplifiers have low input and output noise, suitable for applications with high signal quality requirements, such as audio amplifiers, sensor interfaces, etc. Low-noise operational amplifiers typically use low-noise components and optimized circuit designs to reduce noise levels and improve signal-to-noise ratio.6. High-temperature operational amplifier: High-temperature operational amplifiers have a wide operating temperature range and stability, suitable for applications in high-temperature environments such as aerospace, automotive electronics, etc. High-temperature operational amplifiers typically use high-temperature stable materials and packaging technologies to ensure reliability and performance in extreme environments.In summary, operational amplifiers are powerful and widely used electronic devices, and different product classifications are suitable for different application scenarios and requirements. With the continuous development of electronic technology and the expansion of application fields, the product classifications of operational amplifiers are constantly enriching and improving, providing more choices and possibilities for the design and manufacturing of various electronic devices. It is hoped that this article can help readers better understand the important product classifications and characteristics of operational amplifiers, providing reference and guidance for research and applications in related fields.

Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences. Features of Products with Specialized Logic for Keywords IntroductionIn the era of information explosion, how to effectively acquire and utilize information has become an important issue. With the rapid development of the Internet, the demand for information-based and educational products is increasing, and how to quickly find the desired content in a vast amount of information has become a major challenge for users. Specialized logic for keywords, as a way of information processing and retrieval, gradually demonstrates its unique value in these products. This article will explore the definition, features, application examples, challenges, and future development trends of specialized logic for keywords. 1. Definition of Specialized Logic for KeywordsSpecialized logic for keywords refers to a logical system that optimizes information retrieval and learning effectiveness through specific keywords in information retrieval and educational content. This logic not only focuses on the selection of keywords themselves but also emphasizes the degree of match between keywords and user needs. Through in-depth analysis of keywords, products can better understand user intent, thereby providing more accurate information and learning resources.In information retrieval, specialized logic for keywords helps users quickly find relevant information, improving search efficiency. In the field of education, it analyzes user learning needs and recommends the most suitable courses and learning materials, thereby enhancing learning effectiveness. 2. Product Features 1. PrecisionOne notable feature of specialized logic for keywords is its precision. By analyzing and selecting keywords in depth, products can provide more accurate information retrieval results. This precision is reflected not only in search engine results but also in course recommendations on educational platforms.For example, on an online learning platform, when a user enters "data science" as a search keyword, the system can recommend the most relevant courses based on the analysis of that keyword's relevance and the user's history, rather than a bunch of irrelevant results. This precision greatly enhances user satisfaction and learning efficiency. 2. RelevanceRelevance is another important feature of specialized logic for keywords. By analyzing user needs and behavior, products ensure that the information provided is highly relevant to the user's actual needs. This relevance not only improves user satisfaction but also significantly enhances learning effectiveness.In educational products, relevance is reflected in course recommendations and the matching of learning resources. For example, when a user is studying "machine learning," the system can recommend "deep learning" courses related to it, rather than unrelated "history" courses. This precise relevance enables users to efficiently acquire the necessary knowledge. 3. ScalabilitySpecialized logic for keywords has good scalability and can adapt to the needs of different fields and topics. Whether it is science, technology, art, or humanities and social sciences, keyword logic can be flexibly adjusted to meet diverse learning needs.For example, a comprehensive online education platform can adjust the application strategy of keywords based on the characteristics of different disciplines. In the field of science, it may focus more on technicality and professionalism, while in the field of art, it may focus more on creativity and expression. This scalability allows products to cover a wider range of user groups and meet the needs of different users. 4. User-FriendlinessWhen designing information-based and educational products, user-friendliness is an essential factor. Specialized logic for keywords simplifies the user's search process, making it easier for users to find the information they need. This user-friendliness not only enhances the user experience but also promotes user learning motivation.For example, many online education platforms use intuitive interface designs, where users only need to enter keywords, and the system automatically recommends relevant courses and learning resources. This simplified search process significantly reduces the user's learning threshold, allowing more people to easily engage in learning. 5. Data-DrivenSpecialized logic for keywords also emphasizes the data-driven nature. By analyzing user behavioral data, products can continuously optimize the selection and application of keywords. This real-time feedback and adjustment mechanism enable products to maintain efficient operation.For example, an online education platform can adjust course recommendations based on user learning progress and feedback, to better meet user needs. This data-driven approach not only improves the product's level of intelligence but also enhances user stickiness. 3. Application Examples 1. Online Education PlatformSpecialized logic for keywords plays an important role in online education platforms. By analyzing user learning needs, the platform can recommend the most relevant courses, thereby improving learning efficiency. For example, a certain online education platform successfully helped users find suitable programming courses by analyzing keywords, significantly improving learning effectiveness.Additionally, the platform can periodically push related learning resources and course updates based on the user's learning history and preferences. This personalized recommendation mechanism allows users to have a better experience and outcome during the learning process. 2. Information Retrieval SystemIn information retrieval systems, specialized logic for keywords is equally crucial. By optimizing the application of keywords, search engines can provide users with the information they need more quickly. For example, a search engine successfully increased user information retrieval efficiency and satisfaction by optimizing keywords.In practical applications, after users enter keywords in a search engine, the system intelligently sorts search results based on the relevance of keywords and the user's search history. This intelligent search experience allows users to find the required information more quickly, enhancing overall search efficiency. 4. Challenges and Solutions 1. Complexity of Keyword SelectionThe complexity of keyword selection is a major challenge faced by specialized logic for keywords. The diversity of user needs makes keyword selection more difficult. To address this issue, intelligent recommendation systems have emerged, automatically recommending the most relevant keywords to users through machine learning algorithms.For example, a certain online education platform, by introducing an intelligent recommendation system, can generate personalized keyword recommendations based on user learning behavior and preferences. This intelligent recommendation mechanism not only improves the accuracy of keyword selection but also significantly reduces the user's burden. 2. Information OverloadInformation overload is another major challenge. Too many keywords can lead to information confusion, making it difficult for users to find the information they need. To address this issue, products can optimize information filtering mechanisms, helping users quickly filter out the most relevant information through intelligent algorithms.For example, an information retrieval system, by introducing information filtering algorithms, can automatically filter out irrelevant information based on the user's search intent and behavior. This optimized information filtering mechanism enables users to find the required content more quickly, improving information retrieval efficiency. 5. Future Development TrendsWith the continuous development of artificial intelligence technology, specialized logic for keywords will play a greater role in future educational products. By combining artificial intelligence, products will be able to more accurately analyze user needs and provide personalized learning experiences. Additionally, future educational products will focus more on the deep integration of keyword logic and content to enhance overall learning effectiveness.For example, future online education platforms may use deep learning algorithms to analyze user learning behavior and feedback in real-time, automatically adjusting course recommendation keywords. This intelligent learning experience will enable users to achieve higher efficiency and effectiveness in the learning process. ConclusionSpecialized logic for keywords, as an important way of information processing and retrieval, demonstrates great potential in information-based and educational products. Through features such as precision, relevance, scalability, user-friendliness, and data-driven, specialized logic for keywords not only enhances user learning experience but also provides new ideas for information retrieval. With the continuous advancement of technology, specialized logic for keywords will continue to play an important role in future development, providing users with more efficient and intelligent learning and information retrieval experiences.

Analysis of Popular Coil Models and Prices in Stock IntroductionCoils are essential components in electrical and electronic devices, widely used in transformers, inductors, motors, and other equipment. Their basic functions include storing electrical energy, generating magnetic fields, and regulating current and voltage. With the advancement of technology and the increasing demand for electrical equipment in various industries, the market demand for stock coils is also continuously rising. This article will delve into the analysis of the prices of popular coil models in stock and their market trends, helping readers better understand this field. 1. Basic Knowledge of Coils 1.1 Definition of CoilsA coil is an electrical component made of a conductive material (usually copper or aluminum) wound into a coil. Its basic structure includes conductors, insulation materials, and support structures. The main function of a coil is to generate a magnetic field through the flow of current, thereby achieving energy conversion and transmission. In electrical and electronic devices, the role of coils is mainly reflected in the following aspects:Energy storage: Coils can store electrical energy and release it when needed.Voltage transformation: In transformers, coils achieve voltage regulation through electromagnetic induction principles.Filtering: In power circuits, coils can be used to filter out high-frequency noise to ensure the stability of the current. 1.2 Classification of CoilsCoils can be classified according to different standards:Classification by material:Copper coils: Excellent conductivity, widely used in high-performance equipment.Aluminum coils: Lower cost, suitable for some applications with low performance requirements.Classification by application:Transformer coils: Used for voltage conversion, widely used in power systems.Inductor coils: Used for energy storage and filtering, common in electronic devices. 2. Overview of Popular Coil Models 2.1 Common Coil ModelsIn the market, there are several common coil models, each with different characteristics and application areas:EFD coils: These coils are typically used in small transformers and power adapters, favored for their small size and high efficiency.EE coils: Widely used in power transformers, with good magnetic performance and high power density.R-core coils: Due to their low loss and high efficiency, they are commonly used in high-end audio equipment and high-frequency transformers. 2.2 Criteria for Choosing Coil ModelsWhen choosing the right coil model, the following criteria need to be considered:Electrical parameters: Select the appropriate coil based on the current, voltage, and frequency requirements of the equipment.Physical dimensions: Choose the appropriate coil model based on the installation space and size requirements of the equipment. 3. Analysis of the Stock Coil Market 3.1 Current Market DemandCurrently, with the development of emerging industries such as smart homes, renewable energy, and electric vehicles, the demand for stock coils in the market is continuously increasing. Especially in the field of power electronics and automation equipment, the demand for coils has significantly increased. Different industries have distinct differences in the demand for coils, for example:Consumer electronics: There is a high demand for small, efficient coils.Industrial equipment: There is a more urgent demand for high-power, high-durability coils. 3.2 Factors Affecting PricesThe fluctuation of coil prices is influenced by various factors:Fluctuation of raw material prices: Changes in the prices of raw materials such as copper, aluminum directly affect the production cost of coils.Production costs: Including labor costs, equipment depreciation, an increase in production costs will lead to a rise in coil prices.Transportation costs: Changes in global logistics costs also affect the market prices of coils. 4. Analysis of Prices of Popular Coil Models 4.1 Overview of Specific Model PricesHere is an overview of the prices of several popular coil models and their stock prices:Model A: Price range is 100-150 yuan/piece, suitable for small transformers.Model B: Price range is 200-300 yuan/piece, widely used in power adapters.Model C: Price range is 300-500 yuan/piece, suitable for high-end audio equipment. 4.2 Price Trend AnalysisIn recent years, coil prices have shown a certain fluctuation trend. Due to the rise in raw material prices and the increase in market demand, coil prices have generally risen. In the future, with technological advancements and improved production efficiency, coil prices may fall slightly, but the overall trend will remain at a high level. 5. How to Obtain Stock Coils 5.1 Procurement ChannelsThere are several main channels for obtaining stock coils:Online procurement platforms: Such as Alibaba, JD, and other e-commerce platforms, providing a wide range of coil models and price options.Offline suppliers and distributors: Directly contact suppliers for more detailed product information and prices. 5.2 Procurement ConsiderationsWhen purchasing coils, pay attention to the following points:Choose reputable suppliers: Ensure product quality and after-sales service.Pay attention to product quality: Check the technical parameters and certifications of the product to ensure it meets the requirements. 6. ConclusionThrough the analysis of the prices and market trends of popular coil models in stock, we can see that the importance of coils in various industries is becoming increasingly prominent. With the continuous growth in market demand, coil prices are also gradually rising. In the future, as technology advances and market changes, the coil market will continue to develop, bringing more opportunities to related industries.When purchasing coils, it is recommended to pay attention to market dynamics, choose the right model and supplier to ensure the quality and performance of the product. Hopefully, this article can provide valuable information to readers, helping them make wise decisions in the procurement of stock coils. References- Industry Report: 2023 Electrical Components Market Analysis- Market Analysis Article: Trends and Prospects of the Coil Industry- Relevant Technical Literature: Design and Application of Inductors and Transformers---The above is a detailed blog article on the analysis of prices of popular coil models in stock, covering basic knowledge of coils, market analysis, price trends, and procurement recommendations, suitable for readers interested in this field to read. Analysis of Popular Coil Models and Prices in Stock IntroductionCoils are essential components in electrical and electronic devices, widely used in transformers, inductors, motors, and other equipment. Their basic functions include storing electrical energy, generating magnetic fields, and regulating current and voltage. With the advancement of technology and the increasing demand for electrical equipment in various industries, the market demand for stock coils is also continuously rising. This article will delve into the analysis of the prices of popular coil models in stock and their market trends, helping readers better understand this field. 1. Basic Knowledge of Coils 1.1 Definition of CoilsA coil is an electrical component made of a conductive material (usually copper or aluminum) wound into a coil. Its basic structure includes conductors, insulation materials, and support structures. The main function of a coil is to generate a magnetic field through the flow of current, thereby achieving energy conversion and transmission. In electrical and electronic devices, the role of coils is mainly reflected in the following aspects:Energy storage: Coils can store electrical energy and release it when needed.Voltage transformation: In transformers, coils achieve voltage regulation through electromagnetic induction principles.Filtering: In power circuits, coils can be used to filter out high-frequency noise to ensure the stability of the current. 1.2 Classification of CoilsCoils can be classified according to different standards:Classification by material:Copper coils: Excellent conductivity, widely used in high-performance equipment.Aluminum coils: Lower cost, suitable for some applications with low performance requirements.Classification by application:Transformer coils: Used for voltage conversion, widely used in power systems.Inductor coils: Used for energy storage and filtering, common in electronic devices. 2. Overview of Popular Coil Models 2.1 Common Coil ModelsIn the market, there are several common coil models, each with different characteristics and application areas:EFD coils: These coils are typically used in small transformers and power adapters, favored for their small size and high efficiency.EE coils: Widely used in power transformers, with good magnetic performance and high power density.R-core coils: Due to their low loss and high efficiency, they are commonly used in high-end audio equipment and high-frequency transformers. 2.2 Criteria for Choosing Coil ModelsWhen choosing the right coil model, the following criteria need to be considered:Electrical parameters: Select the appropriate coil based on the current, voltage, and frequency requirements of the equipment.Physical dimensions: Choose the appropriate coil model based on the installation space and size requirements of the equipment. 3. Analysis of the Stock Coil Market 3.1 Current Market DemandCurrently, with the development of emerging industries such as smart homes, renewable energy, and electric vehicles, the demand for stock coils in the market is continuously increasing. Especially in the field of power electronics and automation equipment, the demand for coils has significantly increased. Different industries have distinct differences in the demand for coils, for example:Consumer electronics: There is a high demand for small, efficient coils.Industrial equipment: There is a more urgent demand for high-power, high-durability coils. 3.2 Factors Affecting PricesThe fluctuation of coil prices is influenced by various factors:Fluctuation of raw material prices: Changes in the prices of raw materials such as copper, aluminum directly affect the production cost of coils.Production costs: Including labor costs, equipment depreciation, an increase in production costs will lead to a rise in coil prices.Transportation costs: Changes in global logistics costs also affect the market prices of coils. 4. Analysis of Prices of Popular Coil Models 4.1 Overview of Specific Model PricesHere is an overview of the prices of several popular coil models and their stock prices:Model A: Price range is 100-150 yuan/piece, suitable for small transformers.Model B: Price range is 200-300 yuan/piece, widely used in power adapters.Model C: Price range is 300-500 yuan/piece, suitable for high-end audio equipment. 4.2 Price Trend AnalysisIn recent years, coil prices have shown a certain fluctuation trend. Due to the rise in raw material prices and the increase in market demand, coil prices have generally risen. In the future, with technological advancements and improved production efficiency, coil prices may fall slightly, but the overall trend will remain at a high level. 5. How to Obtain Stock Coils 5.1 Procurement ChannelsThere are several main channels for obtaining stock coils:Online procurement platforms: Such as Alibaba, JD, and other e-commerce platforms, providing a wide range of coil models and price options.Offline suppliers and distributors: Directly contact suppliers for more detailed product information and prices. 5.2 Procurement ConsiderationsWhen purchasing coils, pay attention to the following points:Choose reputable suppliers: Ensure product quality and after-sales service.Pay attention to product quality: Check the technical parameters and certifications of the product to ensure it meets the requirements. 6. ConclusionThrough the analysis of the prices and market trends of popular coil models in stock, we can see that the importance of coils in various industries is becoming increasingly prominent. With the continuous growth in market demand, coil prices are also gradually rising. In the future, as technology advances and market changes, the coil market will continue to develop, bringing more opportunities to related industries.When purchasing coils, it is recommended to pay attention to market dynamics, choose the right model and supplier to ensure the quality and performance of the product. Hopefully, this article can provide valuable information to readers, helping them make wise decisions in the procurement of stock coils. References- Industry Report: 2023 Electrical Components Market Analysis- Market Analysis Article: Trends and Prospects of the Coil Industry- Relevant Technical Literature: Design and Application of Inductors and Transformers---The above is a detailed blog article on the analysis of prices of popular coil models in stock, covering basic knowledge of coils, market analysis, price trends, and procurement recommendations, suitable for readers interested in this field to read.

Inverter is an electronic device that converts direct current into alternating current, widely used in fields such as solar power generation, wind power generation, electric vehicles, etc. With the rapid development of renewable energy and the construction of smart grids, the prospects for the inverter market are becoming increasingly broad.Firstly, as the global demand for renewable energy continues to increase, the scale of clean energy generation such as solar and wind power is also expanding. As a core device in renewable energy generation systems, the demand for inverters is also increasing. According to statistics, the global inverter market has shown steady growth in the past few years, and is expected to continue to grow in the coming years.Secondly, with the construction of smart grids and the continuous development of intelligent technology, the inverter market will also usher in new growth opportunities. Smart inverters have functions such as remote monitoring, fault diagnosis, and automatic adjustment, which can improve the stability and reliability of the power grid, and also achieve intelligent management of the power system. Therefore, smart inverters will have broader application prospects in the future market.Furthermore, the inverter market will also benefit from government support and encouragement. Governments around the world have introduced policies and measures to support the development of renewable energy, including subsidies, tax incentives, etc., which will provide strong support for the development of the inverter market. At the same time, some countries are also promoting the construction of smart grids, and inverters, as an important component of smart grids, will benefit from government support.In general, the prospects for the inverter market are broad, with great development potential. With the rapid development of renewable energy and the construction of smart grids, inverters as key equipment will play an increasingly important role in the future market. At the same time, with the continuous advancement of technology and the growing market demand, the inverter industry will also face more opportunities and challenges. We have reason to believe that the inverter market will achieve even more brilliant results in the future.Inverter is an electronic device that converts direct current into alternating current, widely used in fields such as solar power generation, wind power generation, electric vehicles, etc. With the rapid development of renewable energy and the construction of smart grids, the prospects for the inverter market are becoming increasingly broad.Firstly, as the global demand for renewable energy continues to increase, the scale of clean energy generation such as solar and wind power is also expanding. As a core device in renewable energy generation systems, the demand for inverters is also increasing. According to statistics, the global inverter market has shown steady growth in the past few years, and is expected to continue to grow in the coming years.Secondly, with the construction of smart grids and the continuous development of intelligent technology, the inverter market will also usher in new growth opportunities. Smart inverters have functions such as remote monitoring, fault diagnosis, and automatic adjustment, which can improve the stability and reliability of the power grid, and also achieve intelligent management of the power system. Therefore, smart inverters will have broader application prospects in the future market.Furthermore, the inverter market will also benefit from government support and encouragement. Governments around the world have introduced policies and measures to support the development of renewable energy, including subsidies, tax incentives, etc., which will provide strong support for the development of the inverter market. At the same time, some countries are also promoting the construction of smart grids, and inverters, as an important component of smart grids, will benefit from government support.In general, the prospects for the inverter market are broad, with great development potential. With the rapid development of renewable energy and the construction of smart grids, inverters as key equipment will play an increasingly important role in the future market. At the same time, with the continuous advancement of technology and the growing market demand, the inverter industry will also face more opportunities and challenges. We have reason to believe that the inverter market will achieve even more brilliant results in the future.

Logic industry is a field involving thinking, reasoning, and argumentation, playing an important role in today's society. As a discipline, logic aims to study the correct ways of thinking and rules of inference, helping people better understand and analyze problems in order to make correct decisions. The application of logic is very wide-ranging, covering various fields such as education, science, technology, law, and more. In today's age of information explosion, the importance of logic is becoming increasingly prominent.The current situation of the logic industry can be said to be thriving. With the continuous progress of society and the development of technology, the demand for logic is also increasing. In the field of education, logic has become a compulsory course, helping students cultivate correct ways of thinking and analytical abilities. In the field of science, logic is widely used in research and experiments, helping scientists better understand and solve problems. In the field of technology, logic is applied in areas such as artificial intelligence and machine learning, helping develop more intelligent and efficient technological products. In the field of law, logic is used to analyze cases and formulate legal provisions, helping judges and lawyers make correct judgments and defenses.The development of the logic industry has also led to the rise of related industries. Logic education institutions, logic research institutions, logic consulting companies, and other logic-related enterprises have emerged, providing more resources and support for the development of the logic industry. At the same time, logic has become a new career choice, with more and more people choosing to work in logic-related fields such as logic teachers, logic researchers, logic consultants, and more. The market demand for logic is also growing, with logic-related training courses and seminars attracting more and more students and participants.However, the logic industry also faces some challenges and issues. Firstly, the popularization and promotion of logic are not widespread enough, with many people's understanding of logic still at a superficial level, lacking in-depth understanding and application. Secondly, there are still some controversies and disagreements in the research and development of logic, and how to unify the basic principles and rules of logic is still an urgent problem to be solved. In addition, the application of logic still has some limitations, as some problems are not suitable for solving with logical methods and require the integration of knowledge and methods from other disciplines.To further promote the development of the logic industry, we can take some measures. Firstly, strengthen the popularization and promotion of logic, increasing people's understanding and comprehension of logic. Secondly, enhance the research and development of logic, promoting the improvement of the theoretical system and methodology of logic. Thirdly, strengthen the applied research of logic, exploring the potential applications of logic in different fields, providing more ideas and methods for solving practical problems.In conclusion, the current situation of the logic industry is thriving, but it also faces some challenges and issues. By strengthening the popularization and promotion of logic, enhancing the research and development of logic, and strengthening the applied research of logic, we can further promote the development of the logic industry and make greater contributions to the progress and development of society. As an important discipline, logic will continue to play a significant role in today's society, leading the development of human thinking and reasoning.Logic industry is a field involving thinking, reasoning, and argumentation, playing an important role in today's society. As a discipline, logic aims to study the correct ways of thinking and rules of inference, helping people better understand and analyze problems in order to make correct decisions. The application of logic is very wide-ranging, covering various fields such as education, science, technology, law, and more. In today's age of information explosion, the importance of logic is becoming increasingly prominent.The current situation of the logic industry can be said to be thriving. With the continuous progress of society and the development of technology, the demand for logic is also increasing. In the field of education, logic has become a compulsory course, helping students cultivate correct ways of thinking and analytical abilities. In the field of science, logic is widely used in research and experiments, helping scientists better understand and solve problems. In the field of technology, logic is applied in areas such as artificial intelligence and machine learning, helping develop more intelligent and efficient technological products. In the field of law, logic is used to analyze cases and formulate legal provisions, helping judges and lawyers make correct judgments and defenses.The development of the logic industry has also led to the rise of related industries. Logic education institutions, logic research institutions, logic consulting companies, and other logic-related enterprises have emerged, providing more resources and support for the development of the logic industry. At the same time, logic has become a new career choice, with more and more people choosing to work in logic-related fields such as logic teachers, logic researchers, logic consultants, and more. The market demand for logic is also growing, with logic-related training courses and seminars attracting more and more students and participants.However, the logic industry also faces some challenges and issues. Firstly, the popularization and promotion of logic are not widespread enough, with many people's understanding of logic still at a superficial level, lacking in-depth understanding and application. Secondly, there are still some controversies and disagreements in the research and development of logic, and how to unify the basic principles and rules of logic is still an urgent problem to be solved. In addition, the application of logic still has some limitations, as some problems are not suitable for solving with logical methods and require the integration of knowledge and methods from other disciplines.To further promote the development of the logic industry, we can take some measures. Firstly, strengthen the popularization and promotion of logic, increasing people's understanding and comprehension of logic. Secondly, enhance the research and development of logic, promoting the improvement of the theoretical system and methodology of logic. Thirdly, strengthen the applied research of logic, exploring the potential applications of logic in different fields, providing more ideas and methods for solving practical problems.In conclusion, the current situation of the logic industry is thriving, but it also faces some challenges and issues. By strengthening the popularization and promotion of logic, enhancing the research and development of logic, and strengthening the applied research of logic, we can further promote the development of the logic industry and make greater contributions to the progress and development of society. As an important discipline, logic will continue to play a significant role in today's society, leading the development of human thinking and reasoning.

A buffer amplifier is a commonly used electronic component that is used to enhance the amplitude and stability of signals. It has a wide range of applications in various electronic devices, such as audio amplifiers, video amplifiers, communication equipment, etc. There are multiple mainstream models of buffer amplifiers based on different application requirements, and below we will introduce some common types.1. Single-Ended Amplifier: Single-ended amplifier is the most basic type of buffer amplifier, with only one input and one output. It is typically used for low-frequency signal amplification, such as audio amplifiers, power amplifiers, etc. Its advantages include simple structure and low cost, but its disadvantage is poor interference resistance.2. Differential Amplifier: Differential amplifier is a commonly used type of buffer amplifier, with two inputs and one output. It can effectively suppress common-mode interference, improve signal interference resistance and stability. It is usually used for high-precision signal amplification, such as instrumentation, communication equipment, etc.3. Operational Amplifier: Operational amplifier is a high-performance buffer amplifier with high gain, high input impedance, low output impedance, etc. It is typically used for applications requiring high precision and stability, such as precision instruments, medical devices, communication systems, etc.4. Voltage Follower: Voltage follower is a special type of buffer amplifier, with its output directly connected to the input, and the output voltage is exactly the same as the input voltage. Voltage follower is usually used for signal isolation, impedance matching, etc., to effectively reduce signal distortion and interference.5. High-Speed Amplifier: High-speed amplifier is a buffer amplifier specifically designed for high-frequency signal amplification, with fast response, high bandwidth, etc. It is typically used for RF signal amplification, communication systems, radar systems, and other high-frequency applications.In summary, there are multiple mainstream models of buffer amplifiers, each with its specific application areas and advantages. When choosing a buffer amplifier, it is important to consider the specific application requirements and performance criteria to ensure system stability and performance. We hope the above introduction can help you better understand the mainstream models and applications of buffer amplifiers.A buffer amplifier is a commonly used electronic component that is used to enhance the amplitude and stability of signals. It has a wide range of applications in various electronic devices, such as audio amplifiers, video amplifiers, communication equipment, etc. There are multiple mainstream models of buffer amplifiers based on different application requirements, and below we will introduce some common types.1. Single-Ended Amplifier: Single-ended amplifier is the most basic type of buffer amplifier, with only one input and one output. It is typically used for low-frequency signal amplification, such as audio amplifiers, power amplifiers, etc. Its advantages include simple structure and low cost, but its disadvantage is poor interference resistance.2. Differential Amplifier: Differential amplifier is a commonly used type of buffer amplifier, with two inputs and one output. It can effectively suppress common-mode interference, improve signal interference resistance and stability. It is usually used for high-precision signal amplification, such as instrumentation, communication equipment, etc.3. Operational Amplifier: Operational amplifier is a high-performance buffer amplifier with high gain, high input impedance, low output impedance, etc. It is typically used for applications requiring high precision and stability, such as precision instruments, medical devices, communication systems, etc.4. Voltage Follower: Voltage follower is a special type of buffer amplifier, with its output directly connected to the input, and the output voltage is exactly the same as the input voltage. Voltage follower is usually used for signal isolation, impedance matching, etc., to effectively reduce signal distortion and interference.5. High-Speed Amplifier: High-speed amplifier is a buffer amplifier specifically designed for high-frequency signal amplification, with fast response, high bandwidth, etc. It is typically used for RF signal amplification, communication systems, radar systems, and other high-frequency applications.In summary, there are multiple mainstream models of buffer amplifiers, each with its specific application areas and advantages. When choosing a buffer amplifier, it is important to consider the specific application requirements and performance criteria to ensure system stability and performance. We hope the above introduction can help you better understand the mainstream models and applications of buffer amplifiers.

Amplifier products are common electronic devices used to enhance the strength or power of signals. In the market, there are various types of amplifier products, including audio amplifiers, video amplifiers, RF amplifiers, and more. In order to better promote and sell amplifier products, product training is essential. When conducting amplifier product training, there are some key points to pay special attention to.Firstly, product knowledge is the foundation of product training. Before conducting amplifier product training, salespeople and technical staff need to have a comprehensive understanding of the product's characteristics, functions, technical parameters, etc. They need to know which types of amplifier products are suitable for different scenarios and applications in order to provide professional advice and solutions to customers. Additionally, they need to understand the product's competitive advantages and market positioning to better compare and contrast with competitors during the sales process.Secondly, hands-on experience is a crucial part of product training. During amplifier product training, salespeople and technical staff need to operate and experience the product themselves to better understand its usage methods and technical features. They need to learn about the product's installation, debugging, maintenance, etc., so they can promptly address any customer inquiries. Additionally, they need to be familiar with common product failures and solutions to handle customer complaints and issues effectively in after-sales service.Furthermore, market demand is a key consideration in product training. During amplifier product training, salespeople and technical staff need to understand market demands and trends to better seize market opportunities and promote products. They need to know the requirements and demands for amplifier products in different industries and fields to provide personalized solutions to customers. Additionally, they need to be aware of competitors' products and strategies to maintain a competitive edge in the market.Lastly, teamwork is crucial in product training. During amplifier product training, salespeople and technical staff need to collaborate closely and work together to promote and sell products effectively. They need to cooperate, support each other, and solve problems together to better meet customer needs and requirements. Additionally, they need to communicate and collaborate effectively with other departments and teams to integrate resources and advantages for achieving common goals and benefits.In conclusion, amplifier product training is essential for helping salespeople and technical staff understand products, meet customer needs, and promote and sell products effectively. When conducting amplifier product training, it is important to focus on product knowledge, hands-on experience, market demand, and teamwork to achieve better training outcomes and sales performance. I hope the above content is helpful to you. Thank you!Amplifier products are common electronic devices used to enhance the strength or power of signals. In the market, there are various types of amplifier products, including audio amplifiers, video amplifiers, RF amplifiers, and more. In order to better promote and sell amplifier products, product training is essential. When conducting amplifier product training, there are some key points to pay special attention to.Firstly, product knowledge is the foundation of product training. Before conducting amplifier product training, salespeople and technical staff need to have a comprehensive understanding of the product's characteristics, functions, technical parameters, etc. They need to know which types of amplifier products are suitable for different scenarios and applications in order to provide professional advice and solutions to customers. Additionally, they need to understand the product's competitive advantages and market positioning to better compare and contrast with competitors during the sales process.Secondly, hands-on experience is a crucial part of product training. During amplifier product training, salespeople and technical staff need to operate and experience the product themselves to better understand its usage methods and technical features. They need to learn about the product's installation, debugging, maintenance, etc., so they can promptly address any customer inquiries. Additionally, they need to be familiar with common product failures and solutions to handle customer complaints and issues effectively in after-sales service.Furthermore, market demand is a key consideration in product training. During amplifier product training, salespeople and technical staff need to understand market demands and trends to better seize market opportunities and promote products. They need to know the requirements and demands for amplifier products in different industries and fields to provide personalized solutions to customers. Additionally, they need to be aware of competitors' products and strategies to maintain a competitive edge in the market.Lastly, teamwork is crucial in product training. During amplifier product training, salespeople and technical staff need to collaborate closely and work together to promote and sell products effectively. They need to cooperate, support each other, and solve problems together to better meet customer needs and requirements. Additionally, they need to communicate and collaborate effectively with other departments and teams to integrate resources and advantages for achieving common goals and benefits.In conclusion, amplifier product training is essential for helping salespeople and technical staff understand products, meet customer needs, and promote and sell products effectively. When conducting amplifier product training, it is important to focus on product knowledge, hands-on experience, market demand, and teamwork to achieve better training outcomes and sales performance. I hope the above content is helpful to you. Thank you!

Data collection refers to the process of obtaining, organizing, and storing data through various means and technologies. In the current information age, data collection has become an important means for enterprises and organizations to obtain information and make decisions. However, data collection also faces some market policy restrictions and regulations to protect personal privacy and data security. Below, we will introduce some common data collection market policies.1. Data protection laws: Various countries and regions have relevant data protection laws, such as the EU's General Data Protection Regulation (GDPR), the US Health Insurance Portability and Accountability Act (HIPAA), etc. These laws specify the norms for the collection, storage, and processing of personal data, requiring enterprises and organizations to comply with relevant laws and regulations when collecting data to protect user privacy and data security.2. Data usage policies: When collecting data, enterprises and organizations need to clarify the purpose and scope of data usage and obtain user consent. Some countries and regions require that enterprises provide users with clear privacy policies when collecting data, informing users of the purpose, scope, and protection measures of data usage, and users have the right to choose whether to consent to data collection.3. Data security standards: Data security is crucial during the data collection process. Some countries and regions require that enterprises and organizations take necessary security measures when collecting data to protect the confidentiality, integrity, and availability of data, preventing data leakage and misuse.4. Data sharing policies: In some industries and fields, data collection is carried out to achieve data sharing and interoperability. Some countries and regions require that enterprises and organizations comply with data sharing policies when collecting data to ensure legal, secure, and effective data sharing, promoting data circulation and application.5. Data regulatory agencies: To supervise and manage data collection activities, some countries and regions have established specialized data regulatory agencies responsible for overseeing and managing the compliance and standardization of data collection. Enterprises and organizations must comply with the regulations of regulatory agencies when collecting data and accept supervision and inspection.In summary, data collection market policies are mainly aimed at protecting personal privacy and data security, standardizing data collection activities, promoting the legal, secure, and effective use of data. Enterprises and organizations must comply with relevant laws, regulations, and policies when collecting data to protect user privacy and data security, promote reasonable data sharing and application. Only by complying with market policies can data collection play its proper role, bringing more business value and social benefits to enterprises and organizations.Data collection refers to the process of obtaining, organizing, and storing data through various means and technologies. In the current information age, data collection has become an important means for enterprises and organizations to obtain information and make decisions. However, data collection also faces some market policy restrictions and regulations to protect personal privacy and data security. Below, we will introduce some common data collection market policies.1. Data protection laws: Various countries and regions have relevant data protection laws, such as the EU's General Data Protection Regulation (GDPR), the US Health Insurance Portability and Accountability Act (HIPAA), etc. These laws specify the norms for the collection, storage, and processing of personal data, requiring enterprises and organizations to comply with relevant laws and regulations when collecting data to protect user privacy and data security.2. Data usage policies: When collecting data, enterprises and organizations need to clarify the purpose and scope of data usage and obtain user consent. Some countries and regions require that enterprises provide users with clear privacy policies when collecting data, informing users of the purpose, scope, and protection measures of data usage, and users have the right to choose whether to consent to data collection.3. Data security standards: Data security is crucial during the data collection process. Some countries and regions require that enterprises and organizations take necessary security measures when collecting data to protect the confidentiality, integrity, and availability of data, preventing data leakage and misuse.4. Data sharing policies: In some industries and fields, data collection is carried out to achieve data sharing and interoperability. Some countries and regions require that enterprises and organizations comply with data sharing policies when collecting data to ensure legal, secure, and effective data sharing, promoting data circulation and application.5. Data regulatory agencies: To supervise and manage data collection activities, some countries and regions have established specialized data regulatory agencies responsible for overseeing and managing the compliance and standardization of data collection. Enterprises and organizations must comply with the regulations of regulatory agencies when collecting data and accept supervision and inspection.In summary, data collection market policies are mainly aimed at protecting personal privacy and data security, standardizing data collection activities, promoting the legal, secure, and effective use of data. Enterprises and organizations must comply with relevant laws, regulations, and policies when collecting data to protect user privacy and data security, promote reasonable data sharing and application. Only by complying with market policies can data collection play its proper role, bringing more business value and social benefits to enterprises and organizations.