SK Hynix 96GB DDR5-6400 RDIMM 2Rx4 ECC

The SK Hynix 96GB DDR5-6400 RDIMM (HMCG94AEBRA123N) is a high-density, high-bandwidth registered dual in-line memory module engineered for next-generation server and AI infrastructure platforms. Built on a 2Rx4 (dual rank, x4 organization) configuration, this module achieves a native operating frequency of 6400 MT/s, delivering substantially greater memory bandwidth compared to DDR4 predecessors and enabling the sustained data throughput demanded by large-scale AI inference, deep learning, and in-memory analytics workloads. ECC (Error-Correcting Code) functionality provides hardware-level detection and correction of single-bit errors, with multi-bit error detection safeguarding data integrity in mission-critical deployments.

The 96GB capacity is realized through advanced DRAM die stacking and high-density packaging, making this module well suited for platforms that must balance high per-DIMM capacity with slot efficiency—particularly important in multi-socket servers where total addressable memory must scale without exhausting available DIMM slots. The registered (buffered) design incorporates an RCD (Registering Clock Driver) that isolates the memory controller from the electrical load of the DRAM arrays, enabling stable signal integrity at DDR5-6400 speeds across fully populated memory channels. This architecture aligns with JEDEC DDR5 standards and is compatible with server platforms utilizing Intel Xeon Scalable (Sapphire Rapids and successors) and AMD EPYC processors with DDR5 memory controllers.

Launched in Q4 2024, the HMCG94AEBRA123N targets the emerging class of AI inference servers, large language model (LLM) serving nodes, and high-performance computing clusters where memory capacity and bandwidth are primary performance constraints. The module operates at 1.1V, consistent with the DDR5 standard supply voltage, contributing to improved energy efficiency relative to equivalent DDR4 configurations. Its combination of 96GB density, 6400 MT/s throughput, and ECC reliability positions it as a strategic choice for enterprise data center operators building memory-intensive AI and HPC environments.

Ideal for

• AI inference server nodes running large language models (LLMs) requiring high per-socket memory capacity and sustained bandwidth to feed accelerators and CPUs
• High-performance computing (HPC) clusters executing memory-bound scientific simulations, molecular dynamics, and computational fluid dynamics workloads
• In-memory database and real-time analytics platforms (e.g., SAP HANA, Redis, VoltDB) that benefit from maximized DRAM capacity per server node
• Virtualization hosts running high VM densities where large memory footprints per physical server reduce VM sprawl and improve consolidation ratios
• Genomics, bioinformatics, and life sciences workloads processing large reference datasets entirely in-memory to minimize latency
• Cloud service provider infrastructure requiring high-density DDR5 RDIMMs to maximize memory per rack unit in next-generation server deployments

Technical specifications

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