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Samsung M386AAG40AM3-CWEZQ 128GB DDR4-3200MHz LRDIMM 4Rx4 CL22 Memory

Samsung M386AAG40AM3-CWEZQ 128GB DDR4-3200MHz LRDIMM 4Rx4 CL22 Memory

SKU:M386AAG40AM3-CWEZQ
  • Capacity: 128GB
  • Memory Type: DDR4 SDRAM
  • Form Factor: LRDIMM (Load-Reduced DIMM)
  • Speed: 3200MHz (PC4-25600)
  • Configuration: 4Rx4 (Quad Rank, 4 Banks)
  • Latency: CL22
  • ECC: Registered ECC
  • Voltage: 1.2V
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Product Overview

The Samsung M386AAG40AM3-CWEZQ is a 128GB DDR4-3200MHz Load-Reduced DIMM (LRDIMM) memory module. It features a 4Rx4 configuration and CL22 latency, designed for high-density server applications requiring maximum memory capacity and performance.

Technical Information

Capacity128GB
Memory TypeDDR4 SDRAM
Form FactorLRDIMM
Speed3200MHz
Rank4Rx4

Additional Specifications

LatencyCL22
ECCRegistered ECC
BrandSamsung
Part NumberM386AAG40AM3-CWEZQ

Product Description

This Samsung M386AAG40AM3-CWEZQ module is a high-capacity 128GB DDR4 Load-Reduced DIMM (LRDIMM) operating at 3200MHz (PC4-25600). LRDIMMs are engineered for servers that demand the highest possible memory capacities, utilizing a specialized buffer chip to mitigate the electrical load on the memory controller. This design enables systems to support a greater number of DIMMs per channel, facilitating massive memory configurations. The module is specified as 4Rx4, indicating a quad-rank design with four memory banks per rank. This configuration, combined with the LRDIMM architecture, is optimized for achieving maximum memory density and performance in advanced server platforms. The CAS Latency (CL) is 22, which is standard for DDR4 modules at this speed, offering a good balance between high frequency and data access times. As a Registered ECC (Error-Correcting Code) module, it provides enhanced data integrity and system stability, which are critical for mission-critical server environments. The standard 1.2V operating voltage ensures broad compatibility. The M386AAG40AM3-CWEZQ is an essential component for data-intensive server applications such as large-scale virtualization, in-memory databases, high-performance computing (HPC), and big data analytics, where maximizing RAM capacity is a primary requirement.

Condition:Refurbished

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