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Hynix HMAA4GR7AJR8N-XNTGAA 32GB DDR4-3200MHz RDIMM 2Rx8 CL22 Memory
- Capacity: 32GB
- Type: DDR4 RDIMM
- Speed: 3200MHz (PC4-25600)
- Latency: CL22
- Rank: 2Rx8 (Dual Rank x8)
- ECC: Registered (ECC)
- Voltage: 1.2V
- Designed for server and workstation applications
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Product Overview
The Hynix HMAA4GR7AJR8N-XNTGAA is a 32GB DDR4 Registered DIMM (RDIMM) memory module. It operates at 3200MHz with a CL22 latency, designed for servers and workstations requiring high capacity and performance.
Technical Information
| Capacity | 32GB |
| Memory Type | DDR4 SDRAM |
| Form Factor | RDIMM |
| Speed | 3200MHz |
| CAS Latency | CL22 |
Additional Specifications
| Rank | 2Rx8 |
| ECC | Registered ECC |
| Voltage | 1.2V |
| Brand | Hynix |
| Part Number | HMAA4GR7AJR8N-XNTGAA |
Product Description
The Hynix HMAA4GR7AJR8N-XNTGAA is a high-performance 32GB DDR4 Registered DIMM (RDIMM) memory module. Engineered for demanding server and workstation environments, this module offers a substantial capacity increase and improved data throughput. The DDR4 technology provides enhanced speed and power efficiency compared to previous generations of RAM. Operating at a frequency of 3200MHz, this memory module delivers rapid data access, crucial for memory-intensive applications such as virtualization, large databases, and high-performance computing. The CL22 CAS latency, combined with the 2Rx8 dual-rank configuration, optimizes performance for systems that benefit from increased memory bandwidth and responsiveness. As an RDIMM, it features onboard registers that help reduce electrical load on the memory controller, allowing for higher memory capacities and improved stability in multi-module configurations. This Hynix memory module is equipped with Registered ECC (Error-Correcting Code) capabilities, which detect and correct single-bit errors, ensuring data integrity and system reliability. This feature is vital for mission-critical applications where downtime and data corruption are unacceptable. The 1.2V operating voltage contributes to lower power consumption and heat generation, aligning with the energy-efficient requirements of modern data centers.


