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Hynix HMAA8GL7CPR4N-XNT4 64GB DDR4-3200MHz LRDIMM 4Rx4 CL22 Memory
- 64GB DDR4 SDRAM capacity
- 3200MHz memory speed
- LRDIMM (Load-Reduced DIMM) for maximum capacity and performance
- 4Rx4 module organization (Quad Rank, x4 data width)
- CL22 CAS Latency
- ECC (Error-Correcting Code) support
- High-speed memory for advanced server applications
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Product Overview
This Hynix LRDIMM is a 64GB DDR4 memory module designed for high-performance servers, operating at 3200MHz with a CAS latency of 22. Its LRDIMM format and 4Rx4 organization provide exceptional capacity and speed for demanding enterprise workloads.
Technical Information
| Memory Type | DDR4 SDRAM |
| Capacity | 64GB |
| Speed | 3200MHz |
| Form Factor | LRDIMM |
Additional Specifications
| Rank | 4Rx4 |
| CAS Latency | CL22 |
| Voltage | 1.2V |
| ECC | Yes |
Product Description
The Hynix HMAA8GL7CPR4N-XNT4 is a high-capacity 64GB DDR4 Load-Reduced DIMM (LRDIMM), engineered for cutting-edge server and data center applications requiring extreme memory bandwidth and density. Operating at a rapid 3200MHz with a CAS latency of CL22, this module is designed to power the most demanding workloads, including AI/ML, high-performance computing (HPC), and large-scale in-memory databases. The LRDIMM architecture, featuring an onboard buffer chip, significantly reduces the electrical load on the memory controller. This allows for the installation of a greater number of DIMMs per channel, enabling unprecedented memory capacities in server systems. The 4Rx4 configuration (Quad Rank, x4 data width) maximizes the data density and bandwidth potential of the module, further enhancing its suitability for performance-critical enterprise environments. This memory module includes robust ECC (Error-Correcting Code) capabilities, essential for ensuring data integrity and system stability in mission-critical server operations. ECC detects and corrects memory errors, safeguarding against data corruption and system crashes. The HMAA8GL7CPR4N-XNT4 represents a top-tier memory solution for organizations pushing the boundaries of computational performance and data processing.
