Lenovo TruDDR5 4800MHz ECC RDIMM 96GB (2Rx4)

The Lenovo TruDDR5 4800MHz ECC RDIMM 96GB (2Rx4), part number 4X77A94074, is a high-capacity registered DDR5 memory module engineered specifically for Lenovo ThinkSystem servers. Operating at a native DDR5 speed of 4800MHz with a dual-rank, quad-die-per-package (2Rx4) configuration, this module delivers the elevated memory bandwidth and density that modern enterprise workloads demand. Error-correcting code (ECC) functionality provides continuous hardware-level error detection and correction, maintaining data integrity across sustained, mission-critical operations.

With a 96GB capacity per module, this RDIMM is positioned for high-density server memory configurations, enabling administrators to build systems with multi-terabyte total memory footprints within a standard DDR5 DIMM slot inventory. The registered (buffered) architecture offloads electrical load from the memory controller, improving signal integrity and stability at scale — a critical design characteristic for multi-socket and high-DIMM-count server platforms running continuously in datacenter environments.

The TruDDR5 line is validated and qualified by Lenovo through rigorous system-level testing against ThinkSystem server platforms, ensuring compatibility, thermal stability, and performance consistency. This module is well-suited to memory-intensive enterprise workloads including in-memory databases, large-scale virtualization, AI inference and training pipelines, and high-performance computing clusters where both density and reliability are non-negotiable requirements.

Ideal for

• In-memory database deployments (SAP HANA, Redis, VoltDB) requiring large contiguous memory pools with ECC protection
• High-density virtualization hosts running numerous concurrent VMs with large memory allocations per guest
• AI and machine learning inference servers where large model weights must reside entirely in system memory
• High-performance computing (HPC) nodes executing memory-bandwidth-bound simulation and modeling workloads
• Enterprise data analytics platforms processing large datasets in-memory to minimize storage I/O latency
• Cloud-native infrastructure nodes in private and hybrid cloud environments demanding maximum memory capacity per socket

Technical specifications

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