Memory

Part Number	Description / PDF	Quantity
71V65603S133BGGI8 Renesas Electronics America	IC SRAM 9MBIT PARALLEL 119PBGA	0
R1LV5256ESP-5SI#B1 Renesas Electronics America	IC SRAM 256KBIT PARALLEL 28SOP	30
71256L25DB Renesas Electronics America	IC SRAM 256KBIT PAR 28CERDIP	0
UPD44324182BF5-E33-FQ1-A Renesas Electronics America	DDR SRAM, 2MX18, 0.45NS	463
71V65603S150BQGI Renesas Electronics America	IC SRAM 9MBIT PARALLEL 165CABGA	0
71V65603S100BG8 Renesas Electronics America	IC SRAM 9MBIT PARALLEL 119PBGA	0
70V07L25PFG8 Renesas Electronics America	IC SRAM 256KBIT PARALLEL 80TQFP	0
6116SA90TDB Renesas Electronics America	IC SRAM 16KBIT PARALLEL 24CDIP	74
71V016SA15YGI8 Renesas Electronics America	IC SRAM 1MBIT PARALLEL 44SOJ	0
R1WV6416RBG-5SR#B0 Renesas Electronics America	STANDARD SRAM, 4MX16, 55NS	7341
7140LA25PFG8 Renesas Electronics America	IC SRAM 8KBIT PARALLEL 64TQFP	0
70T3519S133BFI8 Renesas Electronics America	IC SRAM 9MBIT PARALLEL 208CABGA	0
70V25L15PFG8 Renesas Electronics America	IC SRAM 128KBIT PARALLEL 100TQFP	0
70V3389S5BCI Renesas Electronics America	IC SRAM 1.125MBIT PAR 256CABGA	0
71T75802S166BG Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	0
71T75802S150BG8 Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	0
71124S15YG8 Renesas Electronics America	IC SRAM 1MBIT PARALLEL 32SOJ	0
M5M5V108DVP-70H#ST Renesas Electronics America	SRAM 1M-BIT (128K X 8)	1889
71T75602S133PFG Renesas Electronics America	IC SRAM 18MBIT PARALLEL 100TQFP	0
71T75602S166BGGI8 Renesas Electronics America	IC SRAM 18MBIT PARALLEL 119PBGA	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

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)