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Hynix HMA82GR7AFR8N-UHTDAD 16GB DDR4-2400MHz RDIMM 2Rx8 CL17 Memory
- 16GB DDR4 memory capacity.
- Operating speed of 2400MHz.
- Registered DIMM (RDIMM) for server environments.
- Dual Rank x8 (2Rx8) configuration for improved performance.
- CAS Latency (CL) of 17.
- Designed for enhanced server memory performance and stability.
- Supports error correction for data integrity.
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Product Overview
The Hynix HMA82GR7AFR8N-UHTDAD is a high-performance 16GB DDR4 RDIMM memory module. It operates at a speed of 2400MHz with a CL17 latency, designed to enhance the processing power and multitasking capabilities of compatible servers and workstations.
Technical Information
| Memory Type | DDR4 SDRAM |
| Capacity | 16GB |
| Speed | 2400MHz |
Additional Specifications
| Form Factor | RDIMM |
| Rank | 2Rx8 |
| CAS Latency | CL17 |
Product Description
The Hynix HMA82GR7AFR8N-UHTDAD is a 16GB DDR4 Registered DIMM (RDIMM) memory module, engineered for demanding server and workstation applications. This module operates at a frequency of 2400MHz, providing a significant boost in data transfer rates compared to lower-speed memory. The RDIMM form factor includes an onboard register that buffers data signals, reducing electrical load on the memory controller and allowing for higher memory capacities and improved stability in multi-processor systems. The 2Rx8 configuration signifies that the module is dual-rank, with each rank consisting of eight memory chips. This architecture can enhance performance by allowing the memory controller to access different ranks concurrently, effectively increasing bandwidth. The CAS Latency (CL) of 17 indicates the number of clock cycles it takes for the memory to respond to a request for data, a crucial factor in overall system responsiveness. This Hynix memory module is designed to meet the rigorous demands of enterprise environments, offering reliability, performance, and compatibility with a wide range of server platforms. Its specifications make it suitable for memory-intensive tasks such as virtualization, large database management, scientific computing, and high-performance analytics, ensuring that systems can handle complex workloads efficiently.
