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Hynix HMAA8GL7AMR4N-UHT2AC 64GB DDR4-2400MHz LRDIMM 4Rx4 CL17 Memory
- 64GB DDR4 SDRAM capacity
- Speed: 2400MHz (PC4-19200)
- Form Factor: LRDIMM (Load-Reduced DIMM)
- Rank: 4Rx4 (Quad Rank x4)
- CAS Latency: CL17
- Voltage: 1.2V
- ECC: Registered (RDIMM)
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Product Overview
This Hynix 64GB DDR4 LRDIMM memory module is designed for enterprise-level servers requiring high capacity and performance. It operates at 2400MHz with a CL17 latency, featuring a 4Rx4 configuration for optimal memory density and efficiency in demanding data center environments.
Technical Information
| Memory Type | DDR4 SDRAM |
| Capacity | 64GB |
| Speed | 2400MHz |
| Form Factor | LRDIMM |
Additional Specifications
| Rank | 4Rx4 |
| CAS Latency | CL17 |
| Voltage | 1.2V |
| ECC | Registered |
Product Description
The Hynix HMAA8GL7AMR4N-UHT2AC is a high-capacity 64GB DDR4 Load-Reduced DIMM (LRDIMM) engineered for the most demanding server applications. With a clock speed of 2400MHz, it delivers exceptional data throughput, crucial for large-scale data processing, virtualization, and in-memory databases. The LRDIMM architecture incorporates a memory buffer chip, which reduces the electrical load on the memory controller, allowing for higher memory capacities and more DIMMs per channel compared to standard RDIMMs or UDIMMs. This module features a 4Rx4 configuration, indicating quad-rank operation with four internal memory banks per chip. This design enhances memory density and can improve performance in systems that can leverage the increased parallelism. The CAS Latency of CL17 is optimized for the higher speeds and capacities offered by DDR4 LRDIMMs, ensuring efficient data access in complex server environments. The standard 1.2V operating voltage contributes to power efficiency within dense server racks. Designed for enterprise-grade servers, the HMAA8GL7AMR4N-UHT2AC provides the reliability and scalability required for mission-critical workloads. Its substantial 64GB capacity allows for significant expansion of memory resources, enabling servers to handle larger datasets and more concurrent users without performance degradation. This module is an ideal choice for cloud computing infrastructure, high-performance computing clusters, and other environments where maximum memory capacity and stability are paramount.



