Memory

Image Part Number Description / PDF Quantity Rfq
TMS4030JL

TMS4030JL

Texas Instruments

DRAM, 4KX1, 300NS

109

SMJ61CD16LA-45JDM

SMJ61CD16LA-45JDM

Texas Instruments

STANDARD SRAM, 16KX1

350

SMJ64C16L-35JDM

SMJ64C16L-35JDM

Texas Instruments

STANDARD SRAM, 16KX1

1329

TMS4C1050B-40SD

TMS4C1050B-40SD

Texas Instruments

262 264-WORD BY 4 BIT FIELD MEMO

313

SMJ27C512-45JM

SMJ27C512-45JM

Texas Instruments

512K (64KX8) UV ERASABLE PROM

709

SMJ68CE16S-45JDM

SMJ68CE16S-45JDM

Texas Instruments

DUAL MARKED (8403609LA)

2206

SMJ61CD64L-45JDM

SMJ61CD64L-45JDM

Texas Instruments

DUAL MARKED (5962-8601504XA)

1725

SMJ64C16L-55JDM

SMJ64C16L-55JDM

Texas Instruments

STANDARD SRAM, 16KX1

576

TMS6287-45N

TMS6287-45N

Texas Instruments

STANDARD SRAM, 128KX8, 85NS, PDI

81198

SMJ68CE16L-35JDM

SMJ68CE16L-35JDM

Texas Instruments

DUAL MARKED (5962-887400ILA)

381

SMJ61CD16LA-25JDM

SMJ61CD16LA-25JDM

Texas Instruments

STANDARD SRAM, 16KX1

243

SMJ61CD16LA-35JDM

SMJ61CD16LA-35JDM

Texas Instruments

STANDARD SRAM, 16KX1

195

SMJ68CE16S-35JDM

SMJ68CE16S-35JDM

Texas Instruments

STANDARD SRAM, 2KX8, CMOS

1095

SMJ64C16S-55JDM

SMJ64C16S-55JDM

Texas Instruments

STANDARD SRAM, 16KX1

616

SMJ68CE16S-25JDM

SMJ68CE16S-25JDM

Texas Instruments

STANDARD SRAM, 2KX8, CMOS

281

SN74AS870DWR

SN74AS870DWR

Texas Instruments

DUAL-PORT SRAM, 16X4, 15NS, TTL

1000

SMJ64C16L-70JDM

SMJ64C16L-70JDM

Texas Instruments

DUAL MARKED (5962-8670510RA)

682

MPSTIBPAL22V10/15

MPSTIBPAL22V10/15

Texas Instruments

ELECTRICALLY ERASABLE PAL DEVICE

749

SMJ64C16L-45JDM

SMJ64C16L-45JDM

Texas Instruments

STANDARD SRAM, 16KX1

982

TMS4C1070B-30N

TMS4C1070B-30N

Texas Instruments

262 264-WORD BY 4 BIT FIELD MEMO

793

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)
RFQ BOM Call Skype Email
Top