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Hynix HMT84GR7BMR4A-H9T4 32GB DDR3-1333MHz RDIMM 4Rx4 CL9 Memory
- Capacity: 32GB
- Memory Type: DDR3 SDRAM
- Speed: 1333MHz (PC3-10600)
- Form Factor: RDIMM (Registered DIMM)
- Configuration: 4Rx4 (Quad Rank x4)
- Latency: CL9
- Voltage: 1.5V
- Designed for high-density server applications
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Product Overview
The Hynix HMT84GR7BMR4A-H9T4 is a 32GB DDR3-1333MHz RDIMM memory module. It features a 4Rx4 configuration and CL9 latency, designed for enterprise servers requiring high memory capacity and performance.
Technical Information
| Capacity | 32GB |
| Memory Type | DDR3 SDRAM |
| Speed | 1333MHz |
Additional Specifications
| Form Factor | RDIMM |
| Rank | 4Rx4 |
| CAS Latency | CL9 |
Product Description
The Hynix HMT84GR7BMR4A-H9T4 is a high-capacity 32GB DDR3 Registered DIMM (RDIMM) memory module, operating at a frequency of 1333MHz. This module is specifically engineered for enterprise-grade servers and data centers that require significant amounts of RAM to handle demanding workloads such as virtualization, large-scale databases, cloud computing, and high-performance computing (HPC). The RDIMM design includes an onboard buffer chip that reduces the electrical load on the memory controller, enabling systems to support a greater number of memory modules and higher total memory capacities. This module features a 4Rx4 configuration, indicating it is quad-rank with four data bits per DRAM chip. Quad-rank modules offer higher density and can improve memory bandwidth utilization in certain server architectures by allowing the memory controller to access different ranks independently. The CAS Latency (CL) of 9 is standard for DDR3-1333MHz modules and contributes to its overall performance characteristics. Operating at the standard 1.5V for DDR3, this Hynix memory module is designed for compatibility with a wide array of server platforms that support DDR3 RDIMMs. Its substantial 32GB capacity makes it ideal for memory-intensive applications, ensuring smooth operation and efficient multitasking in environments where memory resources are critical for performance and stability.


