Memory

Image Part Number Description / PDF Quantity Rfq
GS832136AGD-333I

GS832136AGD-333I

GSI Technology

IC SRAM 36MBIT PARALLEL 165FPBGA

0

GS81302Q37AGD-450I

GS81302Q37AGD-450I

GSI Technology

IC SRAM 144MBIT PAR 165FPBGA

10

GS8662TT38BGD-500I

GS8662TT38BGD-500I

GSI Technology

IC SRAM 72MBIT PARALLEL 165FPBGA

0

GS81313LD36GK-625I

GS81313LD36GK-625I

GSI Technology

IC SRAM 144MBIT PARALLEL 260BGA

0

GS8182Q18BGD-333I

GS8182Q18BGD-333I

GSI Technology

IC SRAM 18MBIT PARALLEL 165FPBGA

36

GS8322Z36AGB-333I

GS8322Z36AGB-333I

GSI Technology

IC SRAM 36MBIT PARALLEL 119FPBGA

18

GS864036GT-300I

GS864036GT-300I

GSI Technology

IC SRAM 72MBIT PARALLEL 100TQFP

15

GS4576C36GL-18I

GS4576C36GL-18I

GSI Technology

IC DRAM 576MBIT PARALLEL 144UBGA

0

GS832136AGB-333I

GS832136AGB-333I

GSI Technology

1M X 36 (36 MEG) SYNCH BURST REV

0

GS8642Z72GC-250I

GS8642Z72GC-250I

GSI Technology

IC SRAM 72MBIT PARALLEL 209BGA

0

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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