SK Hynix CXL 2.0 Memory Module CMM-DDR5 128GB

The SK Hynix CMM-DDR5 128GB is a CXL 2.0 (Compute Express Link) memory expansion module engineered to extend the effective DRAM capacity of modern x86 servers beyond the physical limitations of on-board DIMM slots. Built on SK Hynix's advanced DDR5 DRAM die technology and interfaced via the PCIe 5.0 x8 physical layer underlying the CXL 2.0 protocol, the module presents a coherent, cache-coherent memory region to the host CPU, allowing operating systems and hypervisors to manage it as a second memory tier through CXL.mem Type-3 semantics. The E1.S and PCIe add-in card form factors integrate a CXL controller ASIC alongside the DRAM stack, providing hardware-managed protocol translation, ECC, and RAS features that meet enterprise data-center reliability standards.

The CMM-DDR5 targets workloads that are bottlenecked by insufficient DRAM rather than compute, including in-memory databases, large language model (LLM) inference serving, real-time analytics, and virtualization environments hosting many memory-hungry VMs. By pooling CXL-attached capacity across multiple sockets or nodes in CXL 2.0 switched topologies, operators can right-size memory independently of CPU provisioning, dramatically improving TCO efficiency in memory-intensive deployments. The module is compatible with Intel Sapphire Rapids and subsequent Xeon platforms as well as AMD EPYC Genoa and later processors that expose native CXL 2.0 root complex support.

From a software ecosystem perspective, the CMM-DDR5 integrates with Linux kernel NUMA memory tiering (introduced in kernel 5.18+), Microsoft Windows Server memory tiering, and orchestration frameworks such as Kubernetes with memory tiering plugins, allowing workload-aware page placement policies that transparently migrate hot pages to local DDR5 DIMMs and cold pages to CXL-attached capacity. SK Hynix embeds per-module telemetry accessible via the CXL Device Component Registers (DCR) and SPDM-based secure firmware attestation, enabling full observability within BMC and out-of-band management stacks.

Ideal for

• In-memory database scaling: expanding SAP HANA, Redis, or VoltDB working-set capacity on two-socket servers without replacing existing DDR5 DIMM configurations
• LLM inference serving: holding large transformer model weights and KV-caches in expanded DRAM to reduce GPU HBM swapping and sustain higher inference throughput
• High-density VMware vSphere or Red Hat OpenShift virtualization: increasing per-host memory headroom to consolidate more VMs or containers without adding physical hosts
• Real-time financial analytics: buffering inbound market-data streams and order-book snapshots in low-latency DRAM tiers for tick-by-tick analytics engines
• Genomics and life-sciences HPC: loading large reference genome datasets entirely into DRAM to accelerate alignment and variant-calling pipelines that thrash on NVMe-based swap
• Cloud-native memory pooling: deploying multiple CMM-DDR5 modules behind a CXL 2.0 switch fabric to create a disaggregated, shared DRAM pool across a rack of compute nodes

Technical specifications

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