Samsung 64GB DDR5-6400 RDIMM PC5-51200 2Rx4 ECC Registered

The Samsung 64GB DDR5-6400 RDIMM (M321R8GA0PB0-CCP) represents Samsung's latest-generation registered ECC server memory, operating at 6400 MT/s to deliver exceptional bandwidth for compute-intensive enterprise platforms. Built on Samsung's advanced 1b-nm DRAM process node, this module uses a 2Rx4 (dual-rank, x4 organization) architecture across a 288-pin RDIMM form factor, providing the density and signal integrity required for demanding dual-socket server deployments. The PC5-51200 designation reflects a peak theoretical bandwidth of 51,200 MB/s per module, a substantial step forward from prior DDR5 speeds.

As a Registered DIMM, the M321R8GA0PB0-CCP incorporates an on-module register (RCD) that re-drives command and address signals, significantly reducing electrical load on the memory controller and enabling stable multi-DIMM-per-channel configurations in large-memory server builds. ECC (Error-Correcting Code) functionality provides continuous single-bit error correction and multi-bit error detection, a fundamental requirement for data integrity in enterprise, financial, and scientific computing environments. The module operates at 1.1V, consistent with DDR5 platform power specifications.

This module is designed for compatibility with server platforms based on Intel Xeon Scalable (Sapphire Rapids and successors) and AMD EPYC (Genoa/Bergamo and successors) processors that support DDR5-6400 RDIMM. It is particularly well-suited for workloads that benefit from maximized memory bandwidth and large addressable memory capacity per socket, including in-memory databases, high-performance computing clusters, AI/ML inference serving, and virtualization-dense environments where memory throughput is a primary bottleneck.

Ideal for

• In-memory database platforms (SAP HANA, Oracle In-Memory, Redis Enterprise) requiring maximum per-socket memory capacity and bandwidth to keep entire working datasets resident in DRAM
• High-performance computing (HPC) clusters running memory-bandwidth-sensitive workloads such as computational fluid dynamics, genomics pipelines, and finite element analysis
• AI and machine learning inference servers where large model parameters must be loaded into fast, high-capacity system memory for low-latency serving
• Dense virtualization hosts (VMware vSphere, Red Hat OpenShift) maximizing VM consolidation ratios through high per-channel memory capacity with ECC-protected reliability
• Real-time analytics and data warehousing appliances that require sustained high-bandwidth memory access across large columnar datasets
• Financial services risk and quantitative computing platforms demanding both high throughput and the error-correction integrity necessary for regulated workloads

Technical specifications

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