Micron 128GB DDR5-5600 RDIMM ECC Registered

The Micron 128GB DDR5-5600 RDIMM (MTC80F2046S1RC56BR) is a high-capacity registered ECC memory module engineered for the demands of modern enterprise server platforms. Built on DDR5 architecture operating at 5600 MT/s, it delivers substantially higher bandwidth and improved power efficiency compared to previous-generation DDR4 RDIMMs. The module incorporates on-die ECC (ODECC) at the DRAM level in addition to the system-level ECC provided by the registered buffer, delivering multi-layered data integrity protection critical in production server environments.

As a 2Rx4 RDIMM, this module utilizes a dual-rank, x4 organization across 72 bits (64-bit data bus plus 8 ECC bits), allowing servers to populate more capacity per channel while maintaining signal integrity at high frequencies. The registered (buffered) design offloads address and command signals through a Register Clock Driver (RCD), enabling high-DIMM-count configurations on multi-socket platforms without compromising signal fidelity. It operates at 1.1V, consistent with the DDR5 specification for reduced thermal output under sustained workloads.

Launched in Q2 2024, the MTC80F2046S1RC56BR targets memory-intensive enterprise workloads including large-scale in-memory databases, virtualization hosts running dense VM populations, and AI/ML inference servers requiring substantial addressable memory per socket. It is compatible with DDR5-capable server platforms based on Intel Xeon Scalable (Sapphire Rapids and successors) and AMD EPYC (Genoa and successors) processors that support DDR5 RDIMM form factors.

Ideal for

• In-memory database servers (SAP HANA, Oracle In-Memory, Redis) requiring terabyte-scale memory footprints across multi-socket nodes
• High-density VMware vSphere or Red Hat OpenShift virtualization hosts maximizing VM-per-host ratios with large per-VM memory allocations
• AI and machine learning inference platforms where large model weights must reside fully in DRAM to minimize latency
• Big data analytics nodes running Apache Spark or similar frameworks that benefit from expanded in-memory dataset capacity
• HPC workloads and scientific computing environments where large working-set memory reduces I/O bottlenecks and accelerates time-to-result
• Enterprise ERP and CRM application servers (SAP S/4HANA, Salesforce on-premise) handling large concurrent user session loads

Technical specifications

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