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Hynix HMA82GR7CJR8N-XNTGAC 16GB DDR4-3200MHz RDIMM 2Rx8 CL22 Memory
- 16GB DDR4 Registered DIMM (RDIMM).
- Memory Speed: 3200MHz.
- Configuration: 2Rx8 (Dual Rank x8).
- CAS Latency: CL22.
- Designed for server and workstation applications.
- Provides high bandwidth and low latency.
- Ensures system stability and performance.
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Product Overview
The Hynix HMA82GR7CJR8N-XNTGAC is a 16GB DDR4 RDIMM memory module. It operates at 3200MHz with a 2Rx8 configuration and CL22 latency, designed for servers and high-performance workstations requiring fast and reliable memory.
Technical Information
| Product Type | Memory Module |
| Brand | Hynix |
| Capacity | 16GB |
| Memory Type | DDR4 RDIMM |
Additional Specifications
| Speed | 3200MHz |
| Rank | 2Rx8 |
| CAS Latency | CL22 |
| Part Number | HMA82GR7CJR8N-XNTGAC |
Product Description
The Hynix HMA82GR7CJR8N-XNTGAC is a high-performance 16GB DDR4 Registered DIMM (RDIMM) memory module. Engineered for demanding server and workstation environments, this module operates at a rapid speed of 3200MHz, ensuring swift data processing and efficient multitasking. The 2Rx8 configuration signifies its dual-rank structure with x8 data width per rank, which can enhance performance in certain memory controllers by allowing for more simultaneous access to memory cells. With a CAS Latency (CL) of 22, this RDIMM strikes a balance between speed and stability, making it suitable for a wide array of enterprise applications. Registered DIMMs are designed to reduce electrical load on the memory controller, allowing for higher memory capacities and improved system stability, which is crucial for mission-critical servers. The DDR4 technology offers significant improvements in bandwidth and power efficiency over previous generations. This memory module is an ideal choice for upgrading existing server memory or populating new systems that require substantial and reliable RAM. Its specifications are tailored to meet the rigorous demands of virtualization, database management, scientific computing, and other data-intensive tasks, contributing to overall system responsiveness and productivity.
