SK Hynix DDR5-7200 32GB UDIMM

The SK Hynix DDR5-7200 32GB UDIMM (HMCG88AGBUA095N) represents the current frontier of unbuffered DDR5 memory technology, operating at 7200 MT/s to deliver substantially higher bandwidth than previous DDR5 generations. Built on SK Hynix's advanced 1b-nm (1β) DRAM process node, this module leverages on-die ECC and improved power architecture inherent to the DDR5 standard, including a built-in PMIC (Power Management IC) that reduces motherboard complexity and delivers tighter voltage regulation at 1.1V nominal VDD.

With a 32GB capacity on a single UDIMM form factor, this module is designed for high-density desktop workstation and compatible consumer-grade enterprise platforms that support DDR5. The DDR5-7200 speed grade operates via XMP or EXPO profiles on compatible platforms, enabling memory-intensive tasks to sustain peak throughput across the full 64-bit wide bus. The module uses a 288-pin interface consistent with the DDR5 UDIMM standard, ensuring physical and electrical compatibility with DDR5-capable motherboards and workstation platforms.

Targeted at professionals running AI inference, generative workloads, content creation, scientific simulation, and data analytics on high-performance workstations, the HMCG88AGBUA095N is positioned where raw memory bandwidth and capacity density are primary constraints. Its availability through Omnixon Global's procurement network serves enterprise buyers across UAE, GCC, EMEA, and APAC regions seeking verified, high-specification memory components for critical build-outs.

Ideal for

• AI and machine learning inference workstations requiring maximum DDR5 memory bandwidth for model loading and tensor operations
• High-performance workstation builds for 3D rendering, visual effects, and large-asset content creation pipelines
• Scientific computing and simulation environments where large working datasets must reside in fast local memory
• Software development and compilation servers benefiting from high-speed memory to accelerate build and test cycles
• Data analytics workstations processing large in-memory datasets with tools such as Apache Spark or Python-based analytics stacks
• Engineering workstation deployments for CAD, EDA, and finite element analysis requiring high-capacity, high-bandwidth memory configurations

Technical specifications

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