Dell 32GB DDR5 5600MHz RDIMM Dual Rank

The Dell 32GB DDR5 5600MHz RDIMM Dual Rank (SNP75X1VC/32G-5600) is a registered, buffered DDR5 memory module engineered for Dell PowerEdge servers operating on Intel Xeon Scalable (Sapphire Rapids and Emerald Rapids) platforms. Built to the DDR5 RDIMM standard, it operates at 5600 MT/s with a 288-pin DIMM interface and 1.1V nominal voltage, delivering substantially higher bandwidth and improved per-bit power efficiency compared to preceding DDR4 generations. On-die ECC (ODECC) is integrated at the DRAM level, providing an additional layer of data integrity that complements the system-level ECC managed by the server's memory controller.

As a Dual Rank configuration, this module presents two independently addressable ranks to the memory controller, enabling the system to interleave access across ranks and sustain higher effective throughput during memory-intensive operations. The registered (buffered) design isolates command and address signals through an on-module register, reducing electrical load on the memory channel and allowing larger memory populations per system without signal integrity degradation. These characteristics make the module well-suited for configurations requiring maximum capacity per channel or per socket in multi-DIMM-per-channel deployments.

Dell validates this module through its system-level qualification process, ensuring compatibility and stability specifically within supported PowerEdge server generations. The module targets datacenter environments running AI inference and training frameworks, in-memory databases, large-scale virtualization stacks, and high-performance computing workloads where memory bandwidth and capacity are primary constraints on overall system throughput.

Ideal for

• AI and machine learning inference servers requiring high-bandwidth memory to sustain continuous tensor operation throughput across accelerator-attached host nodes
• In-memory database platforms such as SAP HANA or Oracle In-Memory running on Dell PowerEdge servers where working dataset size must reside entirely in DRAM
• Large-scale VMware vSphere or Red Hat OpenShift virtualization hosts where dense VM or container consolidation ratios depend on maximizing per-socket memory capacity
• High-performance computing (HPC) clusters executing memory-bound scientific simulations, finite element analysis, or computational fluid dynamics requiring sustained bandwidth across all ranks
• Enterprise data analytics and real-time streaming platforms processing high-volume event data where memory latency directly affects query response time
• Cloud-native infrastructure nodes in private or hybrid cloud deployments scaling out stateful microservices or caching layers that demand large, reliable memory pools

Technical specifications

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