Samsung CXL Memory Module Box CMM-B 256GB

The Samsung CMM-B 256GB is a Compute Express Link (CXL) 2.0 compliant memory expansion module engineered to break the physical DIMM slot constraints of modern server platforms. Built on Samsung's advanced DRAM fabrication process, the CMM-B connects via the CXL 2.0 protocol over a PCIe 5.0 physical interface, presenting a coherent, byte-addressable memory pool that the host CPU can access with near-DDR latency characteristics. The module supports CXL memory pooling and sharing, allowing multiple hosts or compute nodes to dynamically allocate and reclaim memory capacity from a shared fabric, which is a transformative architectural shift for hyperscale and enterprise data centers deploying disaggregated infrastructure.

The CMM-B is specifically optimized for workloads whose memory footprint routinely exceeds what conventional DDR5 DIMM configurations can deliver per socket. Large-scale in-memory databases, real-time analytics engines, generative AI inference serving, and deep learning training pipelines that stage massive embedding tables or KV-cache data in host memory are primary beneficiaries. By presenting 256GB of additional coherent memory per module, the CMM-B enables system architects to compose logical memory capacities well into the terabyte range without resorting to costly multi-socket NUMA topologies or sacrificing memory bandwidth efficiency.

Samsung's CMM-B ships in the industry-standard E3.S form factor, ensuring compatibility with next-generation server platforms from major brands that have adopted CXL 2.0-ready chipsets and host controllers. The module integrates an onboard CXL memory controller that handles protocol translation, error correction via ECC, and the coherency handshake with the host CPU's cache hierarchy. Its modular, hot-add design philosophy supports incremental memory scaling — operators can expand system memory capacity without system downtime in platforms with live-insertion support — making it an operationally agile building block for evolving AI infrastructure demands.

Ideal for

• Scaling in-memory database capacity (SAP HANA, Redis, VoltDB) beyond per-socket DDR5 DIMM slot limits on two-socket servers without adding CPU sockets
• Expanding KV-cache and embedding table memory for large language model (LLM) inference serving, reducing cache eviction and improving token throughput
• Providing disaggregated memory pools in CXL fabric-attached rack architectures where multiple compute blades dynamically share a common memory tier
• Supporting real-time analytics and OLAP query engines (Apache Spark, ClickHouse) that stage large intermediate datasets entirely in host-addressable memory
• Enabling terabyte-scale genomics and scientific computing workflows that require contiguous byte-addressable memory regions exceeding conventional DIMM capacities
• Building composable infrastructure platforms where memory resources are provisioned on-demand to virtual machines or containers without physical reconfiguration

Technical specifications

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