Memory

Image Part Number Description / PDF Quantity Rfq
DS1265AB-100+

DS1265AB-100+

Analog Devices, Inc.

IC NVSRAM 8MBIT PARALLEL 36EDIP

63

DS1250Y-EMC

DS1250Y-EMC

Analog Devices, Inc.

DS1250 512K X 8 NV SRAM MODULE

8075

DS2502PU-1176+

DS2502PU-1176+

Analog Devices, Inc.

IEEE EUI-64 NODE ADDRESS CHIP

4000

DS1265AB-70IND+

DS1265AB-70IND+

Analog Devices, Inc.

IC NVSRAM 8MBIT PARALLEL 36EDIP

310

DS1254YB2-100

DS1254YB2-100

Analog Devices, Inc.

2M X 8 NV SRAM, PHANTOM CLOCK

2333

DS1230YL-100LOT:110213

DS1230YL-100LOT:110213

Analog Devices, Inc.

DS1230 3.3 VOLT, 256 K NV SRAM

380

DS2704RQ-C0B+TR

DS2704RQ-C0B+TR

Analog Devices, Inc.

1280 BIT EEPROM WITH SHA-1 AUTHE

10000

DS3803-70

DS3803-70

Analog Devices, Inc.

1024K FLEXIBLE NV SRAM SIMM

1389

DS1961S-F5

DS1961S-F5

Analog Devices, Inc.

1KBIT EEPROM IBUTTON WITH SHA-1

0

DS2229T-4M7

DS2229T-4M7

Analog Devices, Inc.

DS2229

0

DS1230Y-X15

DS1230Y-X15

Analog Devices, Inc.

3.3 VOLT, 256 K NONVOLATILE SRAM

736

DS1230Y-FIR

DS1230Y-FIR

Analog Devices, Inc.

DS1230 3.3 VOLT, 256 K NV SRAM

1651

DS2253T-612

DS2253T-612

Analog Devices, Inc.

DS2253

484

DS2229T-70

DS2229T-70

Analog Devices, Inc.

DS2229

384

Memory

1. Overview

Memory integrated circuits (ICs) are semiconductor devices used for storing digital data in electronic systems. As fundamental components of modern electronics, they enable data retention and retrieval in computers, mobile devices, industrial equipment, and automotive systems. Memory ICs are categorized into volatile (requires power to retain data) and non-volatile (retains data without power) types, playing critical roles in system performance, storage capacity, and energy efficiency.

2. Major Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
DRAM (Dynamic RAM)High-density, low-cost, requires periodic refreshPCs, Servers, Graphics Cards
NAND FlashNon-volatile, high endurance, block-level accessSSDs, USB Drives, Mobile Storage
SRAM (Static RAM)High-speed, low density, no refresh requiredCache Memory, Networking Equipment
NOR FlashRandom access, execute-in-place capabilityEmbedded Systems, Automotive ECUs
MRAM (Magnetoresistive RAM)Non-volatile, unlimited endurance, low powerIoT Devices, Industrial Sensors

3. Structure and Composition

Memory ICs typically consist of:

  • Storage Cell Array: Matrix of memory cells (transistors/capacitors for DRAM, floating-gate transistors for Flash)
  • Address Decoder: Selects specific memory locations
  • I/O Circuits: Data input/output interfaces
  • Control Logic: Manages read/write operations and timing
  • Power Management Units: Optimizes energy consumption

Advanced packages include BGA (Ball Grid Array) and 3D-stacked configurations for density optimization.

4. Key Technical Specifications

ParameterDescriptionImportance
Storage CapacityData volume (Gb/GiB)Determines system memory limits
Access Timens/predictable latencyImpacts processing speed
Power ConsumptionmW/MHzAffects battery life and thermal design
EnduranceP/E cycles (Flash)Dictates product lifespan
Data RetentionYears (non-volatile)Critical for long-term storage

5. Application Areas

  • Consumer Electronics: Smartphones (NAND Flash), Gaming Consoles (GDDR6)
  • Industrial Automation: PLCs (SRAM), Data Loggers (MRAM)
  • Automotive Systems: ADAS (LPDDR5), Infotainment (eMMC)
  • Enterprise Storage: SSD Controllers (3D NAND), Servers (RDIMM)

6. Leading Manufacturers and Products

ManufacturerRepresentative Products
Samsung ElectronicsV-NAND (9x-layer), LPDDR5X
SK hynixHBM3 (8GB/s bandwidth), GDDR6
Microchip TechnologySerial NOR Flash (SST26)
Kioxia CorporationBiCS FLASH (3D NAND)
Infineon TechnologiesMRAM (40nm process)

7. Selection Recommendations

Key considerations:

  • Match memory type to application requirements (e.g., NOR Flash for code storage)
  • Evaluate bandwidth vs. latency tradeoffs
  • Analyze temperature and vibration specifications
  • Assess long-term supply stability
  • Optimize cost-per-bit metrics

Case Study: A smartphone manufacturer selected UFS 3.1 (NAND-based) for 2100MB/s read speeds, improving app launch times by 35%.

8. Industry Trends

Future directions include:

  • 3D NAND scaling beyond 200 layers
  • Emerging memories (ReRAM, PCM) for AI acceleration
  • Package-on-Package (PoP) integration
  • AI-optimized memory architectures (Processing-in-Memory)
  • Green manufacturing processes (EUV lithography)
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