Samsung 128GB DDR4 3200MHz LRDIMM ECC 4Rx4

The Samsung 128GB DDR4 3200MHz LRDIMM ECC 4Rx4 (M386A16G40CM2-CWE) is a Load-Reduced Dual Inline Memory Module engineered for high-capacity server and enterprise infrastructure deployments. Built on Samsung's advanced DDR4 architecture, the module operates at a native speed of 3200MHz (PC4-25600) with a 288-pin interface and employs a 4-rank-per-channel, x4 data width configuration that enables exceptional memory density per DIMM slot. The integrated load-reducing buffer (LRDIMM) isolates the electrical load of the DRAM components from the host memory controller, allowing platforms to populate more DIMMs per channel without sacrificing signal integrity or memory bandwidth.

This module incorporates ECC (Error-Correcting Code) functionality, detecting and correcting single-bit memory errors in real time and detecting multi-bit errors — a critical reliability requirement for mission-critical enterprise environments. Operating at 1.2V, the M386A16G40CM2-CWE balances high capacity with power efficiency, making it well suited for platforms where thermal and power budgets are tightly managed. The module is compliant with JEDEC DDR4 standards and is designed for compatibility with Intel Xeon Scalable platforms and AMD EPYC server ecosystems that support LRDIMM form factors.

With 128GB per module, the M386A16G40CM2-CWE enables extreme memory scaling in multi-socket server configurations — a single dual-socket server can achieve multiple terabytes of installed RAM depending on the number of available DIMM slots. This makes the module an ideal building block for in-memory databases, AI/ML training infrastructure, large-scale virtualization hosts, and high-performance computing clusters where addressable memory capacity directly constrains workload throughput and concurrency.

Ideal for

• In-memory database platforms (SAP HANA, Oracle TimesTen) requiring multi-terabyte addressable memory pools across dual- and quad-socket servers
• AI and machine learning training nodes where large datasets must reside entirely in system memory to minimize I/O latency during model iteration
• High-density VMware vSphere and Microsoft Hyper-V virtualization hosts maximizing concurrent VM density per physical server node
• HPC cluster compute nodes running memory-intensive simulations in genomics, computational fluid dynamics, and financial risk modeling
• Enterprise ERP and OLAP workloads on platforms such as SAP S/4HANA where rapid in-memory data access underpins transaction throughput
• Cloud service provider infrastructure requiring reliable, high-capacity DRAM modules to underpin multi-tenant workloads with strict data integrity requirements

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.