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Hynix HMAA8GL7MMR4N-TFT1-AB 64GB DDR4-2133MHz LRDIMM 4Rx4 CL15 Memory
- Capacity: 64GB
- Type: DDR4 SDRAM
- Form Factor: LRDIMM (Load-Reduced Dual In-line Memory Module)
- Speed: 2133MHz (PC4-17000R)
- Latency: CL15
- Rank: 4Rx4 (Quad Rank, x4 organization)
- Voltage: Standard DDR4 voltage (typically 1.2V)
- Designed for servers and enterprise-grade systems.
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Product Overview
The Hynix HMAA8GL7MMR4N-TFT1-AB is a 64GB DDR4 Load-Reduced DIMM (LRDIMM) memory module. It is designed for servers and high-performance workstations requiring significant memory capacity and speed.
Technical Information
| Memory Size | 64GB |
| Memory Type | DDR4 SDRAM |
| Form Factor | LRDIMM |
| Speed | 2133MHz |
Additional Specifications
| CAS Latency | CL15 |
| Rank | 4Rx4 |
| Brand | Hynix |
| Part Number | HMAA8GL7MMR4N-TFT1-AB |
Product Description
The Hynix HMAA8GL7MMR4N-TFT1-AB is a high-capacity 64GB DDR4 Load-Reduced DIMM (LRDIMM) memory module, engineered for demanding server and workstation environments. This module operates at a speed of 2133MHz, providing substantial bandwidth for data-intensive applications. The LRDIMM form factor is specifically designed to allow for higher memory capacities and densities in systems by reducing the electrical load on the memory controller, making it ideal for configurations requiring a large amount of RAM. This specific module is a Quad Rank (4Rx4) configuration, which means it contains four ranks of memory chips, each organized as x4 (4 bits wide). This organization can offer performance benefits in certain server architectures by allowing the memory controller to access different ranks concurrently. With a CAS Latency (CL) of 15, it strikes a balance between speed and stability, suitable for enterprise workloads that require both responsiveness and reliability. The HMAA8GL7MMR4N-TFT1-AB is built to meet the rigorous standards of enterprise computing, ensuring data integrity and consistent performance. It is compatible with servers and motherboards that support DDR4 LRDIMM memory, providing a crucial upgrade path for systems needing enhanced memory resources for virtualization, large databases, scientific simulations, or complex data analysis tasks.
