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Hynix HMA84GL7AFR4N-UHT2 32GB DDR4-2400MHz LRDIMM 2Rx4 CL17 Memory
- Capacity: 32GB
- Type: DDR4 LRDIMM (Load-Reduced DIMM)
- Speed: 2400MHz (PC4-19200)
- Rank: 2Rx4 (Dual Rank x4)
- CAS Latency: CL17
- Voltage: 1.2V
- ECC: Yes (Error-Correcting Code)
- Application: Servers
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Product Overview
The Hynix HMA84GL7AFR4N-UHT2 is a 32GB DDR4 LRDIMM (Load-Reduced DIMM) memory module. It operates at a speed of 2400MHz with timings of CL17 and features a 2Rx4 rank configuration. This memory is designed for servers requiring high memory capacity and advanced memory management.
Technical Information
| Memory Type | DDR4 SDRAM |
| Form Factor | LRDIMM |
| Capacity | 32GB |
| Speed | 2400MHz |
Additional Specifications
| Rank | 2Rx4 |
| CAS Latency | CL17 |
| ECC | Load-Reduced ECC |
Product Description
The Hynix HMA84GL7AFR4N-UHT2 is a 32GB DDR4 Load-Reduced DIMM (LRDIMM) memory module, specifically designed for high-density server applications. It operates at a speed of 2400MHz, providing a bandwidth of PC4-19200, suitable for demanding server workloads. LRDIMMs are characterized by an additional buffer chip that reduces the electrical load on the memory controller, enabling systems to support significantly higher memory capacities and more modules per channel compared to RDIMMs. This module features a 2Rx4 configuration, indicating it is dual-rank with each rank composed of x4 DRAM devices. This configuration can offer performance benefits in certain server memory architectures. The CAS Latency (CL) is rated at 17, which is typical for DDR4-2400 modules, providing a balance between speed and stability. The standard operating voltage for DDR4 is 1.2V, contributing to energy efficiency in large server deployments. LRDIMMs incorporate ECC (Error-Correcting Code) functionality, which is critical for server environments to ensure data integrity and system reliability. The buffer chip on LRDIMMs also plays a role in managing signal integrity. The Hynix HMA84GL7AFR4N-UHT2 is an ideal choice for servers used in virtualization, large-scale data analytics, cloud computing, and other applications that require maximum memory capacity and robust performance.
