Samsung DDR5-7200 16GB UDIMM (12nm-class)

The Samsung DDR5-7200 16GB UDIMM (M378R2GA0BB0-CQKOL) is built on Samsung's advanced 12nm-class process node, delivering a significant leap in memory bandwidth and energy efficiency over previous DDR4 and earlier DDR5 generations. Operating at 7200 MT/s with a 288-pin UDIMM form factor, this module leverages DDR5's on-die ECC architecture, improved burst length, and higher per-channel bandwidth to support the demanding throughput requirements of modern enterprise platforms.

Designed for platforms utilizing Intel's latest desktop and workstation-class chipsets compatible with DDR5, this module implements the JEDEC DDR5 standard with voltage operation at 1.1V, contributing to reduced power draw per gigabit transferred compared to DDR4. The 12nm-class fabrication process enables tighter cell densities, improved signal integrity, and the higher sustained clock frequencies required for latency-sensitive and bandwidth-intensive applications.

As a UDIMM configuration, the M378R2GA0BB0-CQKOL is suited to high-performance workstations, professional-grade desktop platforms, and edge compute nodes where registered or load-reduced buffering is not required. It is particularly relevant for AI inference at the edge, computational workloads in engineering and media production, and enterprise desktop refresh programs where per-socket memory throughput is a key procurement consideration.

Ideal for

• High-performance workstation deployments for CAD, 3D rendering, and simulation workloads requiring sustained high memory bandwidth
• Edge AI inference nodes where DDR5 bandwidth accelerates data throughput between CPU and accelerator without the overhead of buffered memory topologies
• Enterprise desktop refresh programs targeting DDR5-enabled platforms that demand improved performance-per-watt over DDR4 incumbent memory
• Media and entertainment production workstations handling large uncompressed video frames and real-time multi-stream editing pipelines
• Scientific computing and data analytics workstations processing in-memory datasets where bandwidth directly constrains computation throughput
• Developer and build-server environments running parallel compilation, containerized CI/CD pipelines, and virtualized workloads on DDR5-compatible platforms

Technical specifications

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