Memory

Part Number	Description / PDF	Quantity
71V65603S133BGI8 Renesas Electronics America	IC SRAM 9MBIT PARALLEL 119PBGA	0
71256L45DB Renesas Electronics America	IC SRAM 256KBIT PAR 28CERDIP	258
70V7319S166BF Renesas Electronics America	IC SRAM 4.5MBIT PAR 208CABGA	0
71T75802S133BG Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	0
70V3599S166BC Renesas Electronics America	IC SRAM 4.5MBIT PAR 256CABGA	0
71V65803S150PFG8 Renesas Electronics America	IC SRAM 9MBIT PARALLEL 100TQFP	0
71321LA20JG Renesas Electronics America	IC SRAM 16KBIT PARALLEL 52PLCC	33
71V632S7PFG Renesas Electronics America	IC SRAM 2MBIT PARALLEL 100TQFP	140
M5M5V108DVP-70HIST Renesas Electronics America	SRAM 3.3V 1M-BIT (128K X 8)	18969
70V3589S133BCI8 Renesas Electronics America	IC SRAM 2MBIT PARALLEL 256CABGA	0
R1LP0108ESP-5SI#B0 Renesas Electronics America	IC SRAM 1MBIT PARALLEL 32SOP	126
70V631S10BF8 Renesas Electronics America	IC SRAM 4.5MBIT PAR 208CABGA	0
7140LA25PFG Renesas Electronics America	IC SRAM 8KBIT PARALLEL 64TQFP	0
71V67903S80PFG Renesas Electronics America	IC SRAM 9MBIT PARALLEL 100TQFP	534
70V7519S166BC Renesas Electronics America	IC SRAM 9MBIT PARALLEL 256CABGA	0
71T75902S75BGG Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	0
71V67803S166PFG8 Renesas Electronics America	IC SRAM 9MBIT PARALLEL 100TQFP	0
71T75902S75BGG8 Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	0
71321LA20TFG Renesas Electronics America	IC SRAM 16KBIT PARALLEL 64TQFP	0
71T75902S75BG Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	14

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

Type	Functional Characteristics	Application Examples
DRAM (Dynamic RAM)	High-density, low-cost, requires periodic refresh	PCs, Servers, Graphics Cards
NAND Flash	Non-volatile, high endurance, block-level access	SSDs, USB Drives, Mobile Storage
SRAM (Static RAM)	High-speed, low density, no refresh required	Cache Memory, Networking Equipment
NOR Flash	Random access, execute-in-place capability	Embedded Systems, Automotive ECUs
MRAM (Magnetoresistive RAM)	Non-volatile, unlimited endurance, low power	IoT 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

Parameter	Description	Importance
Storage Capacity	Data volume (Gb/GiB)	Determines system memory limits
Access Time	ns/predictable latency	Impacts processing speed
Power Consumption	mW/MHz	Affects battery life and thermal design
Endurance	P/E cycles (Flash)	Dictates product lifespan
Data Retention	Years (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

Manufacturer	Representative Products
Samsung Electronics	V-NAND (9x-layer), LPDDR5X
SK hynix	HBM3 (8GB/s bandwidth), GDDR6
Microchip Technology	Serial NOR Flash (SST26)
Kioxia Corporation	BiCS FLASH (3D NAND)
Infineon Technologies	MRAM (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)