Micron DDR5 LRDIMM 256GB 5600MT/s

The Micron DDR5 LRDIMM 256GB 5600 MT/s represents the pinnacle of server memory engineering, leveraging a Load-Reduced DIMM architecture that places a data buffer between the DRAM components and the memory channel. This buffer decouples the electrical load of the DRAM devices from the host controller, enabling an unprecedented 256GB of addressable memory per module while maintaining signal integrity at 5600 MT/s transfer rates. Built on Micron's advanced DRAM fabrication process, each module integrates high-density DDR5 die stacking to achieve this capacity within a standard DIMM form factor compatible with industry-leading two-socket and four-socket server platforms.

The LRDIMM design is specifically architected for memory-intensive enterprise workloads where per-socket capacity is the limiting constraint rather than raw bandwidth alone. By using an on-module data buffer (DB) and registering clock/command signals through an RCD (Registering Clock Driver), the module supports full-speed operation across high-rank configurations that would otherwise cause signal degradation. The 256GB density allows system architects to deploy terabyte-scale in-memory datasets per server node, dramatically reducing the need for storage tiering and the associated latency penalties.

Launched in Q3 2025, this module targets next-generation Intel Xeon and AMD EPYC server platforms that support DDR5 LRDIMM specifications at this capacity point. Enterprise buyers deploying in-memory databases such as SAP HANA, Oracle TimesTen, or Redis at scale, as well as organizations running large-scale AI inference workloads with substantial model parameter sets resident in DRAM, will find this module enables configurations previously requiring additional server nodes. Micron's comprehensive RAS feature set, including on-die ECC, post-package repair, and full JEDEC DDR5 reliability extensions, ensures data integrity under continuous enterprise operational conditions.

Ideal for

• In-memory database deployments (SAP HANA, Oracle TimesTen) requiring terabyte-scale datasets resident in a single server node to eliminate storage I/O latency
• Large language model inference servers holding multi-billion parameter models entirely in DRAM for deterministic, low-latency token generation without model sharding
• High-frequency financial analytics platforms executing real-time risk calculations and portfolio simulations on live market datasets held fully in memory
• Virtualization hosts running dense VM populations where maximum per-socket physical memory enables higher VM-to-host consolidation ratios and larger per-VM memory allocations
• Genomics and life sciences compute nodes processing large reference genome datasets and alignment workloads that benefit from eliminating repeated data staging from NVMe storage
• Enterprise in-memory caching layers and data grid deployments (Apache Ignite, Hazelcast) scaling distributed cache capacity per node to reduce cluster size and inter-node traffic

Technical specifications

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