SK Hynix CXL CMM-DDR5 Memory Module 96GB

The SK Hynix CXL CMM-DDR5 Memory Module (96GB) is a Compute Express Link 2.0-compliant memory expansion device engineered to break through the physical DIMM slot ceiling of modern server architectures. Leveraging the CXL.mem protocol over a PCIe 5.0 x8 interface, the module attaches directly to the host CPU's CXL fabric, appearing as a coherent, byte-addressable memory region to the operating system and hypervisor. The 96GB capacity is constructed from SK Hynix's advanced DDR5 DRAM dies packaged within a dual-in-line module form factor specifically adapted for CXL carrier card or E3.S slot deployment, delivering high bandwidth and low latency that closely approaches native DIMM performance characteristics.

The CMM-DDR5 architecture introduces a CXL memory controller integrated within the module that manages address translation, error correction (ECC with advanced SECDED and symbol-correct capabilities), and link-layer protocol handling. The device supports CXL 2.0 memory pooling semantics, allowing a single physical module to be logically partitioned and allocated across multiple virtual machines or containers under hypervisor control. This enables dynamic memory right-sizing without server downtime, a critical capability for cloud-native and virtualized environments where workload memory demands fluctuate substantially across time.

Targeted at hyperscale data centers, AI inference clusters, in-memory database deployments, and high-frequency analytics platforms, the SK Hynix CXL CMM-DDR5 96GB addresses the growing disparity between CPU compute scaling and available main memory capacity per socket. As CPU die counts increase and workloads such as large language model inference, real-time OLAP, and genomics pipelines demand hundreds of gigabytes per node, CXL memory expansion provides a standards-based, vendor-interoperable pathway to multi-terabyte effective memory per server without chassis redesign. SK Hynix's module is JEDEC and CXL Consortium specification-compliant, ensuring interoperability across Intel Sapphire Rapids, Intel Granite Rapids, and AMD EPYC Genoa/Bergamo server platforms with native CXL 2.0 root complex support.

Ideal for

• In-memory database scaling: Expanding SAP HANA, Redis, or Oracle TimesTen working set sizes beyond physical DIMM slot limits to accommodate growing transactional datasets without server replacement.
• AI and LLM inference serving: Providing extended memory pools for large language model weight storage on multi-GPU inference nodes where system memory capacity directly governs model size and batching efficiency.
• Virtualization memory oversubscription reduction: Allocating CXL-pooled memory to VMs dynamically via hypervisor CXL.mem bindings, reducing memory oversubscription ratios and improving per-VM QoS guarantees.
• High-performance analytics: Enabling real-time OLAP engines such as Apache Druid or ClickHouse to maintain larger hot-tier data sets in memory, reducing query latency and disk I/O dependency.
• Genomics and bioinformatics pipelines: Supporting genome assembly, variant calling, and protein structure prediction workloads that require contiguous multi-hundred-gigabyte address spaces per compute node.
• Memory pooling in disaggregated server architectures: Participating in CXL 2.0 fabric-attached memory pools managed by a CXL switch, enabling multiple hosts to share a common memory resource and improve overall rack-level memory utilization.

Technical specifications

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