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Hynix HMAA8GL7CPR4N-WMTGAD 64GB DDR4-2933MHz LRDIMM 4Rx4 CL21 Memory
- 64GB DDR4 Load-Reduced DIMM (LRDIMM).
- Memory Speed: 2933MHz.
- Configuration: 4Rx4 (Quad Rank x4).
- CAS Latency: CL21.
- Designed for high-capacity server applications.
- Enables maximum memory configurations.
- Provides high bandwidth and stability.
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Product Overview
The Hynix HMAA8GL7CPR4N-WMTGAD is a 64GB DDR4 LRDIMM memory module. It operates at 2933MHz with a 4Rx4 configuration and CL21 latency, designed for servers requiring maximum memory capacity and performance.
Technical Information
| Product Type | Memory Module |
| Brand | Hynix |
| Capacity | 64GB |
| Memory Type | DDR4 LRDIMM |
Additional Specifications
| Speed | 2933MHz |
| Rank | 4Rx4 |
| CAS Latency | CL21 |
| Part Number | HMAA8GL7CPR4N-WMTGAD |
Product Description
The Hynix HMAA8GL7CPR4N-WMTGAD is a high-capacity 64GB DDR4 Load-Reduced DIMM (LRDIMM) memory module. This module is specifically engineered for servers that require the utmost in memory density and performance, allowing for significantly larger total memory configurations than standard RDIMMs. It operates at a speed of 2933MHz, providing substantial bandwidth for demanding enterprise workloads. The 4Rx4 organization indicates a quad-rank configuration with x4 data width per rank, which is optimized for high-density memory modules and can improve performance in systems designed to leverage this architecture. With a CAS Latency (CL) of 21, this LRDIMM offers excellent responsiveness for its capacity. LRDIMMs utilize a memory buffer chip that isolates the memory controller from the DRAM devices, reducing electrical load and enabling higher memory capacities per channel. This makes them indispensable for applications such as large-scale virtualization, in-memory databases, big data analytics, and high-performance computing where massive amounts of RAM are essential. This 64GB LRDIMM is a critical component for servers needing to maximize their memory footprint. Its advanced design ensures system stability and reliability even when operating at maximum capacity, making it a strategic choice for data centers and enterprise environments pushing the boundaries of computational power and data processing.
