Micron 128GB DDR5-5600 RDIMM PC5-44800 2Rx4 ECC Registered

The Micron 128GB DDR5-5600 RDIMM (MTC40F204WS1RC56BB) is a high-density registered ECC module engineered for enterprise server platforms demanding maximum memory capacity per DIMM slot. Built on DDR5 architecture with a dual-rank, quad-die-per-package (2Rx4) configuration, the module operates at PC5-44800 (5600 MT/s) and delivers substantially higher bandwidth and improved power efficiency compared to DDR4 predecessors. On-die ECC and the registered buffer topology combine to extend signal integrity across high-capacity memory channels, making this module well-suited to multi-socket server configurations where channel loading and reliability are critical.

At 128GB per module, the MTC40F204WS1RC56BB enables server builds to reach multi-terabyte memory footprints without exhausting available DIMM slots. This density advantage directly benefits workloads where large in-memory datasets must persist without frequent eviction to slower storage tiers. The module conforms to JEDEC DDR5 standards and is designed for compatibility with server platforms built around Intel Xeon Scalable (Sapphire Rapids and successors) and AMD EPYC (Genoa and successors) processors that expose DDR5 memory channels.

Micron manufactures this module using its own DRAM fabrication, providing a vertically integrated supply chain that supports consistent component quality and traceability important to enterprise procurement. The combination of 5600 MT/s data rate, ECC protection, registered command/address buffering, and 128GB capacity positions this RDIMM as a foundational building block for AI inference servers, in-memory databases, high-performance analytics clusters, and virtualization hosts where memory capacity and bandwidth are primary scaling constraints.

Ideal for

• Large language model (LLM) inference servers requiring multi-terabyte aggregate memory to hold full model weights in-memory across a multi-socket node
• In-memory relational and NoSQL database servers (SAP HANA, Oracle, Redis) where entire working datasets must reside in DRAM to meet latency SLAs
• High-performance analytics and data warehousing appliances processing wide columnar datasets that exceed the capacity of lower-density DIMM configurations
• Dense VMware vSphere or Red Hat OpenShift virtualization hosts where maximizing VM density per physical server reduces data center footprint
• Scientific computing and HPC nodes running memory-bound simulation workloads in genomics, computational fluid dynamics, or financial risk modeling
• Enterprise AI training preprocessing nodes and feature stores that stage large structured datasets in memory ahead of GPU-attached accelerator clusters

Technical specifications

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