HPE 96GB (1x96GB) DDR5-5600 CAS-46 Quad Rank x4 Registered Smart Memory Kit

The HPE 96GB (1x96GB) DDR5-5600 CAS-46 Quad Rank x4 Registered Smart Memory Kit (P64339-B21) delivers high-density, high-bandwidth memory designed for HPE ProLiant Gen11 server platforms. Built on DDR5 architecture operating at 5600 MT/s, this module provides a substantial leap in memory bandwidth over previous DDR4 generations, enabling servers to sustain throughput-intensive workloads with greater efficiency. The Quad Rank x4 configuration maximizes addressable memory capacity per DIMM slot, making it an optimal choice for environments where per-socket memory density is a critical constraint.

As an HPE Smart Memory module, P64339-B21 is embedded with an HPE-specific SPD (Serial Presence Detect) that enables the HPE Advanced Memory Protection features exclusive to HPE ProLiant Gen11 platforms. These include enhanced error detection and correction capabilities that go beyond standard JEDEC ECC, contributing to improved data integrity across sustained operation. The Registered (RDIMM) buffer design reduces electrical load on the memory controller, allowing higher DIMM counts per channel and supporting large memory footprint configurations without signal integrity degradation.

With a 96GB single-module capacity, this kit is engineered for memory-intensive enterprise workloads including in-memory databases, AI and machine learning model serving, large-scale virtualization, and HPC applications where working dataset sizes routinely exceed available DRAM in lower-density configurations. The DDR5 platform also introduces improved on-die ECC and power management features at the DRAM level, contributing to both reliability and energy efficiency improvements relevant to modern datacenter operational objectives.

Ideal for

• In-memory database platforms (SAP HANA, Oracle IMDB) requiring very large per-node RAM footprints to hold full working datasets in DRAM
• AI and machine learning inference servers where large model parameters and activation tensors must reside entirely in system memory alongside GPU-attached VRAM
• High-density VMware vSphere or Red Hat OpenShift virtualization hosts consolidating many memory-intensive virtual machines onto fewer physical nodes
• High-performance computing (HPC) clusters running computational fluid dynamics, genomics, or financial risk simulations that demand high memory bandwidth and capacity
• Enterprise analytics and business intelligence platforms executing large in-memory OLAP queries against multi-terabyte datasets
• Kubernetes-based containerized application clusters where node memory capacity directly governs pod scheduling density and application consolidation ratios

Technical specifications

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