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Hynix HMTA8GL7AHR4A-H9MC-AF 64GB DDR3-1333MHz LRDIMM 8Rx4 CL9 Memory
- 64GB Capacity
- DDR3 SDRAM Technology
- Speed: 1333MHz (PC3-10600)
- Form Factor: LRDIMM (Load-Reduced DIMM)
- Configuration: 8-Rank x4
- Latency: CL9
- Designed for servers and workstations
- Supports high memory bandwidth and capacity
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Product Overview
The Hynix HMTA8GL7AHR4A-H9MC-AF is a 64GB DDR3-1333MHz Load-Reduced DIMM (LRDIMM) memory module. It features an 8-rank x4 configuration and CL9 latency, designed for servers and high-performance computing.
Technical Information
| Capacity | 64GB |
| Memory Type | DDR3 SDRAM |
| Speed | 1333MHz |
| Form Factor | LRDIMM |
Additional Specifications
| Rank | 8-Rank |
| Organization | x4 |
| CAS Latency | CL9 |
Product Description
The Hynix HMTA8GL7AHR4A-H9MC-AF is a high-capacity 64GB memory module engineered for demanding server and workstation environments. Utilizing DDR3 SDRAM technology, it operates at a speed of 1333MHz, commonly referred to as PC3-10600, providing substantial bandwidth for data-intensive applications. The module's LRDIMM (Load-Reduced DIMM) architecture is specifically designed to reduce the electrical load on the memory controller, enabling higher memory capacities and improved signal integrity in systems with many memory modules. This module features an advanced 8-rank x4 organization. The 8-rank design allows for greater density and potentially improved performance by enabling the memory controller to access different ranks of memory in an interleaved fashion. The x4 organization refers to the width of the data bus for each memory chip, which can also contribute to performance optimization in certain server architectures. With a CAS Latency (CL) of 9, it offers a balance between speed and responsiveness for various computing tasks. The HMTA8GL7AHR4A-H9MC-AF is an ideal choice for applications requiring large amounts of memory, such as virtualization, large databases, scientific simulations, and high-performance computing. Its robust design and high capacity ensure that servers can handle complex workloads efficiently, providing the memory resources necessary for optimal system performance and scalability.
