SK Hynix 32GB DDR5-5600 RDIMM ECC Server Memory HMCG78AGBRA109N

The SK Hynix HMCG78AGBRA109N is a 32GB Registered DIMM (RDIMM) module featuring DDR5-5600 speed with full Error-Correcting Code (ECC) protection, designed for dual-socket and multi-socket server architectures. This module implements SK Hynix's advanced DDR5 memory technology with registered address and control lines, reducing electrical loading on the memory controller and enabling higher-density configurations in standard 1U and 2U form-factor servers. The RDIMM topology supports four independent error-correction channels, making it suitable for continuous operation in environments where data integrity is non-negotiable.

Launched in Q2 2023, the HMCG78AGBRA109N has become the de facto standard density module across mainstream server deployments, establishing itself as the highest-volume SKU in banking, telecommunications, and university-scale HPC clusters. The module operates within JEDEC DDR5 specifications, ensuring broad compatibility with third-generation Intel Xeon Scalable (Ice Lake) and fourth-generation AMD EPYC processors. SK Hynix's manufacturing process delivers consistent performance and thermal stability across high-utilization workloads.

The module's registered architecture isolates memory module loads from the memory controller, enabling systems to support larger memory capacities per channel while maintaining signal integrity across extended trace lengths on server motherboards. This design is particularly valuable in horizontally-scaled systems where hundreds of servers operate simultaneously, as it reduces per-module power consumption and extends operational lifetime.

Ideal for

• Financial transaction processing systems requiring guaranteed data consistency across distributed ledgers and settlement operations
• Telecommunications infrastructure running real-time signaling, billing, and network management applications with zero-tolerance for data corruption
• University and research institution HPC clusters executing multi-month scientific simulations and machine learning training workloads
• Enterprise virtualization platforms consolidating hundreds of virtual machines with guaranteed memory isolation and fault detection
• Data warehouse and analytics platforms requiring 512GB to 2TB total system memory for in-memory query processing
• Kubernetes and containerized cloud-native environments demanding strict resource allocation and memory error detection at scale

Technical specifications

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