Samsung CXL Memory Expander CMM-D 256GB

Brand: Samsung | Category: Memory (RAM)

SKU: MXMPC4G0HMLS-00000 | Part #: MXMPC4G0HMLS-00000 | MPN: MXMPC4G0HMLS-00000

Contact for Pricing — Request a Quote

Latency and voltage performance are critical for high-frequency trading and in-memory database workloads, and the Samsung CXL Memory Expander CMM-D 256GB delivers the coherent, error-corrected memory capacity enterprises demand. This CXL Type-3 memory expander (part number MXMPC4G0HMLS-00000) harnesses DDR5 technology with CXL 2.0 protocol support to extend host memory pools without sacrificing cache coherency. Samsung engineered this add-in card to operate across a 0°C to 55°C temperature envelope, making it suitable for demanding data center deployments where thermal density and reliability are non-negotiable.

The CMM-D connects via PCIe 5.0 x8 interface and integrates cache-coherent host-managed device memory (HDM) through the CXL.mem sub-protocol, enabling seamless memory expansion on 4th and 5th generation Intel Xeon Scalable platforms and equivalent CXL 2.0-capable server ecosystems. Samsung's design includes full ECC support and comprehensive RAS features—error detection and correction, plus patrol scrub functionality—ensuring data integrity across the entire 256 GB capacity. Storage architects and IT infrastructure teams will appreciate the deterministic memory behavior and the elimination of bandwidth bottlenecks that traditional network-attached memory introduces. Linux kernel 5.12+ with CXL subsystem support and Windows Server environments with CXL-capable platform firmware both recognize this device natively, simplifying software integration. For workloads requiring low-latency, high-capacity memory without compromising uptime, this Samsung solution bridges the gap between CPU-local DRAM and external storage tiers.

Enterprise Memory Expansion Scenarios

• High-frequency trading and quantitative analytics requiring sub-microsecond coherent memory access
• In-memory databases and real-time analytics platforms scaling beyond traditional DIMM limits
• AI model inference and training pipelines that benefit from enlarged working memory pools on a single node
• Machine learning feature stores and vector databases demanding cache-coherent, error-protected capacity
• Financial modeling and risk simulation engines leveraging deterministic memory behavior across redundant calculations

Contact Omnixon Global to request a quotation for the Samsung CXL Memory Expander CMM-D (MXMPC4G0HMLS-00000) and confirm availability for your CXL-ready infrastructure deployment.