SK Hynix DDR5 RDIMM 128GB 5600MT/s ECC Registered

The SK Hynix DDR5 RDIMM 128GB 5600MT/s ECC Registered (HMCG18MEBRA176N) is a high-capacity dual in-line memory module built on DDR5 architecture, delivering a transfer rate of 5600MT/s with on-die ECC and registered buffering for enhanced signal integrity across multi-socket enterprise platforms. Operating on a 1.1V supply voltage, the module adheres to JEDEC DDR5 standards and incorporates a registered clock driver (RCD) that enables stable operation at high densities across server-class motherboards supporting the DDR5 RDIMM specification.

At 128GB per module, HMCG18MEBRA176N targets platforms where per-socket memory capacity is a primary constraint. The module is built using TSV (Through-Silicon Via) stacking or high-density die configurations to achieve this capacity on a standard DIMM form factor, and it supports the wider 64-bit data bus width with chip-kill or advanced ECC modes when paired with compatible memory controllers. The dual-channel-friendly RDIMM design integrates seamlessly into AMD EPYC and Intel Xeon Scalable server ecosystems that expose validated support for 128GB DDR5 RDIMMs.

This module is widely deployed in memory-bound AI and machine learning training workloads where large model parameters, gradient tables, and activation tensors must reside in-memory to avoid costly data movement penalties. Its combination of high per-DIMM capacity and DDR5 bandwidth improvements over DDR4 predecessors makes it a practical choice for HPC clusters, large in-memory databases, and virtualization hosts requiring maximum memory consolidation per rack unit.

Ideal for

• Large-scale AI and deep learning model training where full model parameters and optimizer states must be held in system memory across multi-GPU server nodes
• In-memory analytics and real-time OLAP workloads using platforms such as SAP HANA or Oracle TimesTen, where dataset size must fit entirely within DRAM to meet latency SLAs
• High-density VMware vSphere or Red Hat OpenShift virtualization hosts requiring maximum vRAM per socket to support large numbers of concurrent VMs or containers
• Genomics and computational biology pipelines that perform memory-intensive sequence alignment and variant calling across reference datasets too large for lower-capacity DIMM configurations
• HPC simulation environments running finite element analysis, computational fluid dynamics, or climate modeling codes with working sets exceeding 1TB per node when fully populated
• Enterprise database servers running Microsoft SQL Server or PostgreSQL with large buffer pool requirements, reducing I/O dependency by keeping active datasets resident in memory

Technical specifications

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