HPE 128GB (1x128GB) Quad Rank x4 DDR4-3200 CAS-22-22-22 Load Reduced Smart Memory Kit

The HPE 128GB (1x128GB) Quad Rank x4 DDR4-3200 CAS-22-22-22 Load Reduced Smart Memory Kit (P06189-B21) is a high-density LRDIMM module engineered to meet the demanding capacity and bandwidth requirements of modern enterprise servers. Operating at DDR4-3200 MT/s with a CAS latency of 22-22-22, it delivers a strong balance of throughput and access speed across quad-rank x4 architecture. The load-reduced design employs a memory buffer to electrically isolate the DRAM from the memory bus, enabling higher DIMM capacities per channel without degrading signal integrity — a critical advantage in memory-intensive server configurations.

As an HPE Smart Memory component, this module incorporates an onboard Serial Presence Detect (SPD) mechanism that communicates with HPE ProLiant and Synergy server platforms to enable platform-level optimizations, error detection enhancements, and proactive failure alerting through HPE iLO. The Smart Memory designation ensures the module is validated and tuned specifically for HPE server firmware, providing a level of platform integration not available with third-party alternatives. ECC (Error Correcting Code) support is standard, actively detecting and correcting single-bit memory errors and detecting multi-bit errors to protect data integrity in production environments.

This kit is purpose-built for datacenter deployments that require maximum memory footprint per socket, including large in-memory databases, AI and machine learning model training, high-density virtualization, and real-time analytics platforms. It is compatible with HPE Gen10 and Gen10 Plus ProLiant servers that support DDR4-3200 LRDIMM technology, enabling organizations to scale memory capacity per server to meet the growing data residency demands of enterprise and cloud-adjacent workloads across UAE, GCC, EMEA, and APAC datacenters.

Ideal for

• Large-scale in-memory database deployments such as SAP HANA and Oracle In-Memory requiring maximum per-socket DRAM capacity
• AI and machine learning training workloads where large model and dataset residency in DRAM reduces reliance on storage I/O
• High-density VMware or Hyper-V virtualization environments consolidating numerous memory-heavy virtual machines onto fewer physical hosts
• Real-time analytics and business intelligence platforms processing large datasets entirely within system memory for sub-second query response
• High-performance computing (HPC) clusters where per-node memory capacity directly constrains simulation and modeling problem sizes
• Enterprise middleware and application servers hosting multiple concurrent workloads that collectively demand 1TB+ of addressable memory per server node

Technical specifications

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