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Hynix HMAA4GR7AJR8N-XNTGAD 32GB DDR4-3200MHz RDIMM 2Rx8 CL22 Memory
- 32GB DDR4 Registered DIMM (RDIMM).
- Memory Speed: 3200MHz.
- Configuration: 2Rx8 (Dual Rank x8).
- CAS Latency: CL22.
- Designed for server and workstation applications.
- Offers high capacity for demanding workloads.
- Ensures system stability and performance.
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Product Overview
The Hynix HMAA4GR7AJR8N-XNTGAD is a 32GB DDR4 RDIMM memory module. It operates at 3200MHz with a 2Rx8 configuration and CL22 latency, designed for servers and high-performance workstations requiring substantial and fast memory capacity.
Technical Information
| Product Type | Memory Module |
| Brand | Hynix |
| Capacity | 32GB |
| Memory Type | DDR4 RDIMM |
Additional Specifications
| Speed | 3200MHz |
| Rank | 2Rx8 |
| CAS Latency | CL22 |
| Part Number | HMAA4GR7AJR8N-XNTGAD |
Product Description
The Hynix HMAA4GR7AJR8N-XNTGAD is a high-capacity 32GB DDR4 Registered DIMM (RDIMM) memory module. Designed for enterprise-grade servers and high-performance workstations, this module delivers exceptional speed and reliability. It operates at a clock speed of 3200MHz, providing ample bandwidth for data-intensive applications and complex multitasking scenarios. The 2Rx8 organization indicates a dual-rank configuration with eight data bits per rank, which can optimize memory access patterns for improved performance in compatible systems. With a CAS Latency (CL) of 22, this RDIMM offers a balance between responsiveness and stability, crucial for mission-critical operations. Registered DIMMs incorporate a register chip that buffers command and address signals, reducing the electrical load on the memory controller. This feature allows for greater memory scalability and enhanced system stability, making it the preferred choice for servers handling large datasets or running numerous virtual machines. This 32GB module is an excellent option for upgrading systems that require significant memory resources, such as those used for virtualization, large databases, scientific simulations, or complex data analytics. Its robust specifications ensure that it can meet the demanding requirements of modern IT infrastructures, contributing to improved application performance and overall system efficiency.
