SK Hynix CXL Memory Expansion Module 256GB CMM-D

The SK Hynix CXL Memory Expansion Module 256GB CMM-D (HMCG94MEBRA256N-CXL) is a Compute Express Link (CXL) 2.0-compliant memory expansion module engineered for next-generation datacenter and high-performance computing infrastructure. Built on SK Hynix DDR5 DRAM technology and packaged in the industry-standard E3.S form factor, the CMM-D enables host systems to expand addressable memory capacity far beyond the physical DIMM slot limitations of the server motherboard, addressing the memory wall challenge that constrains AI inference, in-memory database, and large-scale analytics workloads.

The module operates over a CXL.mem protocol interface via a PCIe Gen 5 x8 host connection, delivering low-latency, cache-coherent memory expansion that is directly accessible by the host CPU without requiring application-layer software changes. This coherent attach model allows the operating system and hypervisor to transparently pool the expanded memory alongside local DRAM, enabling memory tiering strategies where capacity-sensitive data is offloaded to CXL-attached memory while latency-critical hot data remains in native DDR5 DIMMs. The CMM-D form factor is designed for hot-plug deployment in CXL-ready server platforms and disaggregated memory appliances.

Targeted at enterprise IT buyers deploying AI/ML serving infrastructure, cloud-native platforms, virtualization hosts, and large in-memory databases, the SK Hynix CMM-D 256GB module provides a scalable path to per-node memory capacities measured in terabytes without requiring platform redesign. Its compatibility with the Open CXL ecosystem and support from leading server make it a strategic component for datacenters in the UAE, GCC, EMEA, and APAC regions building memory-optimized compute infrastructure.

Ideal for

• AI and machine learning inference servers requiring large model footprints that exceed native DIMM capacity, enabling full model residency in memory for reduced latency
• In-memory databases (SAP HANA, Redis, Oracle TimesTen) where expanded addressable memory directly increases dataset size held in-memory without additional compute nodes
• Virtualization and VDI hosts seeking to increase VM density per physical server by pooling CXL-attached memory into the hypervisor memory tier
• High-performance analytics platforms processing large working datasets for real-time business intelligence, financial risk modeling, and genomics workloads
• Disaggregated memory architectures in cloud and hyperscale datacenters where CXL fabric-attached memory pools are shared or dynamically allocated across multiple compute nodes
• Enterprise Kubernetes and container orchestration environments where memory-intensive microservices can be scheduled to nodes with expanded CXL memory headroom

Technical specifications

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