Kingston 256GB DDR5-6400 Load Reduced DIMM Server Memory

The Kingston 256GB DDR5-6400 Load Reduced DIMM (LRDIMM), model KSM64LQ46BD8PMI-256HMR, represents Kingston's highest-density server memory solution engineered for modern multi-socket enterprise platforms. Built on DDR5 architecture, this module operates at 6400 MT/s with a quad-rank, x4 organization and employs a Load Reduced buffer (LRDIMM) design that decouples the electrical load of the DRAM devices from the memory controller bus. This buffering mechanism enables platforms to support higher per-channel capacities than RDIMM configurations allow, making it the preferred memory type for maximum-density deployments in platforms based on Intel Xeon Scalable (Sapphire Rapids and successors) and compatible DDR5 server chipsets.

At 256GB per module, this DIMM delivers exceptional per-slot density that directly reduces the number of DIMMs required to populate a server's full memory footprint, translating to lower power draw per terabyte of memory, improved airflow management, and reduced complexity in large-scale rack deployments. The module uses ECC (Error Correcting Code) with the advanced on-die ECC inherent to DDR5 plus the additional DIMM-level ECC layer expected in registered and load-reduced server designs, providing robust data integrity suitable for mission-critical workloads. Operating voltage is 1.1V, consistent with the DDR5 standard, contributing to improved energy efficiency relative to DDR4 predecessors.

The KSM64LQ46BD8PMI-256HMR is specifically validated for enterprise datacenter, high-performance computing, AI inference and training infrastructure, and in-memory database environments where aggregate memory bandwidth and capacity per node are primary architectural constraints. Kingston subjects these modules to rigorous compatibility and stress testing against major server platforms, and each module ships with a serial presence detect (SPD) profile programmed to JEDEC DDR5 specifications to ensure seamless platform recognition and stability under sustained enterprise workloads.

Ideal for

• AI and machine learning training nodes requiring maximum per-socket memory capacity to hold large model parameters and datasets entirely in DRAM, minimizing storage I/O bottlenecks
• In-memory database deployments such as SAP HANA, Redis, or Oracle TimesTen where the entire working dataset must reside in system memory for sub-millisecond query response
• High-performance computing (HPC) clusters running memory-intensive simulation workloads in computational fluid dynamics, genomics, or financial risk modeling
• Virtualization hosts running large numbers of concurrent VMs or containers where maximizing total host DRAM reduces VM density limitations and avoids memory ballooning overhead
• Enterprise analytics and data warehousing platforms where columnar engines benefit from high aggregate memory bandwidth and capacity to accelerate in-memory query execution
• Cloud service provider infrastructure requiring dense memory configurations to maximize tenant isolation and workload consolidation per physical server node

Technical specifications

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