Dell 256GB DDR5 4800MHz LRDIMM Octal Rank

The Dell 256GB DDR5 4800MHz LRDIMM Octal Rank (part number SNPTN78YC/256G) is a high-capacity registered load-reduced dual inline memory module engineered for Dell PowerEdge servers operating on Intel Xeon Scalable platforms. Built on the DDR5 architecture, this module operates at a native frequency of 4800MHz with a 288-pin interface, delivering substantially higher bandwidth and improved power efficiency compared to its DDR4 predecessors. The octal-rank (8R) configuration combined with LRDIMM buffering technology enables the module to present a single logical rank to the memory controller, reducing electrical loading and allowing enterprise systems to achieve maximum memory capacity per channel without sacrificing signal integrity.

With a 256GB per-DIMM capacity, this module is purpose-built for memory-intensive workloads where dense in-memory datasets are critical to performance outcomes. LRDIMM architecture incorporates a memory buffer (MB) that isolates the DRAM components from the host controller, enabling higher slot-population densities in multi-channel server configurations. This translates directly into support for multi-terabyte memory footprints on compatible Dell PowerEdge platforms, making it an essential building block for scale-up infrastructure designs that demand both capacity and throughput.

This module is designed and validated by Dell for use in qualified Dell PowerEdge server systems, ensuring full compatibility, thermal compliance, and firmware-level recognition within Dell's iDRAC management environment. Enterprise buyers deploying AI inference pipelines, large-scale in-memory databases, virtualization hosts, or high-performance analytics clusters benefit from the combination of DDR5 bandwidth, reduced channel loading, and Dell's server-specific validation process that underpins mission-critical uptime requirements.

Ideal for

• Large-scale in-memory databases (SAP HANA, Oracle In-Memory, Redis) requiring multi-terabyte working set capacity across scale-up server nodes
• AI and machine learning inference servers where large model weights and activation data must reside entirely in system memory to minimize latency
• High-density VMware vSphere or Microsoft Hyper-V virtualization hosts demanding maximum RAM per socket to support large numbers of concurrent virtual machines
• High-performance analytics platforms processing wide columnar datasets entirely in DRAM to eliminate storage I/O bottlenecks
• Enterprise ERP and OLAP workloads on platforms such as SAP S/4HANA that require certified high-capacity DIMM configurations for supported memory sizing tiers
• HPC and scientific computing nodes where per-node memory capacity directly determines the size of solvable problem domains without data spilling to slower storage tiers

Technical specifications

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