Dell 64GB DDR5 4800MHz RDIMM Dual Rank

The Dell 64GB DDR5 4800MHz RDIMM Dual Rank (SNPH8PGNC/64G) is a registered ECC memory module engineered for Dell PowerEdge servers, delivering the advanced DDR5 memory architecture required by modern enterprise, datacenter, and AI infrastructure workloads. Operating at 4800MHz with a 288-pin RDIMM form factor, this module provides substantially higher bandwidth and improved power efficiency compared to previous-generation DDR4 platforms, making it a foundational component for memory-intensive server deployments.

As a dual-rank registered DIMM, the SNPH8PGNC/64G employs on-module register components to buffer command and address signals, enabling stable operation in multi-DIMM per channel configurations and supporting the high-capacity memory populations demanded by large-scale virtualization, in-memory databases, and high-performance computing environments. ECC (Error-Correcting Code) functionality provides continuous single-bit error correction and multi-bit error detection, a critical reliability feature for always-on enterprise systems where data integrity is non-negotiable.

Dell factory qualification ensures full compatibility and validated performance across supported PowerEdge server generations, including systems based on 4th Gen Intel Xeon Scalable (Sapphire Rapids) processors that natively support the DDR5 standard. The module is optimized for deployment in environments requiring maximum memory capacity per server node, including AI and machine learning inference platforms, large-scale SAP HANA and Oracle Database installations, and dense virtual machine consolidation workloads across EMEA and APAC datacenter estates.

Ideal for

• High-density VMware vSphere or Microsoft Hyper-V virtualization hosts requiring large per-VM memory allocations and maximum VM consolidation ratios
• In-memory database platforms such as SAP HANA, Redis, and Oracle Database In-Memory where entire working datasets must reside in RAM for sub-millisecond query performance
• AI and machine learning inference servers running large language models or deep learning frameworks that demand sustained high-bandwidth memory throughput
• High-performance computing (HPC) clusters and scientific simulation nodes where memory bandwidth and capacity directly constrain computational throughput
• Enterprise Kubernetes and container orchestration infrastructure with memory-intensive microservices workloads requiring consistent QoS guarantees
• Large-scale analytics and business intelligence platforms processing real-time data pipelines where low-latency memory access is critical to query responsiveness

Technical specifications

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