Memory

Part Number	Description / PDF	Quantity
EM63A165TS-5G Etron Technology	IC DRAM 256MBIT PAR 54TSOP II	0
EM6AA160TSE-4IG Etron Technology	IC DRAM 256MBIT PAR 66TSOP II	0
EM639165TS-5G Etron Technology	IC DRAM 128MBIT PAR 54TSOP II	0
EM6GE16EWAKG-10IH Etron Technology	IC DRAM 4GBIT PARALLEL 96FBGA	0
EM6AA160TSE-4G Etron Technology	IC DRAM 256MBIT PAR 66TSOP II	0
EM68B08CWAH-25H Etron Technology	IC DRAM 512MBIT PARALLEL 60FBGA	0
EM6GD08EWAHH-10H Etron Technology	IC DRAM 2GBIT PARALLEL 78FBGA	0
EM6GD08EWAHH-10IH Etron Technology	IC DRAM 2GBIT PARALLEL 78FBGA	0
EM6GE16EWAKG-10H Etron Technology	IC DRAM 4GBIT PARALLEL 96FBGA	0
EM639165TS-5IG Etron Technology	IC DRAM 128MBIT PAR 54TSOP II	0
EM6HD08EWAHH-12IH Etron Technology	IC DRAM 2GBIT PARALLEL 78FBGA	2494
EM63B165TS-5SG Etron Technology	IC DRAM 512MBIT PAR 54TSOP II	0
EM6GA16LBXA-12H Etron Technology	256M BIT RPC DRAM (FBGA 96 BALLS	984
EM6GD08EWUF-10IH Etron Technology	IC DRAM 2GBIT PARALLEL 78FBGA	0
EM6AA160BKE-4IH Etron Technology	IC DRAM 256MBIT PARALLEL 60FBGA	0
EM63B165TS-5ISG Etron Technology	IC DRAM 512MBIT PAR 54TSOP II	0
EM6GD08EWUF-10H Etron Technology	IC DRAM 2GBIT PARALLEL 78FBGA	0
EM63A165TS-5IG Etron Technology	IC DRAM 256MBIT PAR 54TSOP II	0
EM6HE08EW3F-10IH Etron Technology	IC DRAM 4GBIT PARALLEL 78FBGA	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)