Lenovo TruDDR5 5600MHz ECC RDIMM 64GB (2Rx4)

The Lenovo TruDDR5 5600MHz ECC RDIMM 64GB (2Rx4), part number 4X77A87324, is a high-capacity registered DDR5 memory module engineered specifically for Lenovo ThinkSystem servers. Operating at a native clock speed of 5600MHz with a 1.1V supply voltage, this module delivers substantially increased memory bandwidth compared to previous DDR4 generations, making it well suited to compute-intensive enterprise, datacenter, and AI infrastructure environments. The 2Rx4 (dual-rank, x4 organization) architecture maximizes density per DIMM slot while maintaining signal integrity across the memory channel.

As a TruDDR5 module, this RDIMM is validated and tested by Lenovo against its ThinkSystem platform, ensuring full compatibility and stable operation under sustained workloads. Registered (buffered) DIMMs include an on-module register that re-drives command and address signals, reducing electrical loading on the memory controller and enabling higher DIMM population counts per server without compromising signal integrity. Error-Correcting Code (ECC) functionality detects and corrects single-bit memory errors in real time and detects multi-bit errors, providing the data integrity and uptime characteristics required in mission-critical enterprise deployments.

With 64GB per module, the 4X77A87324 supports aggressive memory configurations in Lenovo ThinkSystem servers, enabling large in-memory datasets, high virtual machine densities, and the expanded memory footprints demanded by modern AI inference, large language model serving, in-memory analytics, and high-performance database workloads. Its DDR5 architecture also incorporates on-die ECC at the DRAM level, providing an additional layer of error correction independent of the system ECC, further strengthening reliability for enterprise and cloud-scale deployments.

Ideal for

• Large-scale virtualization environments requiring high VM density and substantial per-host memory capacity across ThinkSystem server fleets
• AI and machine learning inference nodes where large model weights and activation data must reside in high-bandwidth system memory
• In-memory database deployments such as SAP HANA or Redis where the entire working dataset is held in DRAM for sub-millisecond query latency
• High-performance computing (HPC) clusters and scientific simulation workloads that are sensitive to memory bandwidth and benefit from DDR5 throughput gains
• Enterprise private cloud and hyperconverged infrastructure platforms requiring dense, reliable memory configurations with ECC-backed data integrity
• Datacenter consolidation projects upgrading legacy DDR4 server infrastructure to DDR5-based ThinkSystem platforms for improved performance per rack unit

Technical specifications

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