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Product Overview |
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The Hynix HMAA4GR7CJR4N-XN 32GB DDR4-3200MHz memory module provides robust performance for server and workstation environments. It fits into systems that require dependable memory with ECC to minimize errors, supporting stable data handling and efficient multitasking. |
General Information |
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| Brand | SK Hynix |
| Part Number | HMAA4GR7CJR4N-XN |
| Alternate Part Number | HMAA4GR7CJR4N-XN-11-HU |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-25600 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 1Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 3200MHz |
| Bandwidth | 25600 MB/s |
| Native Speed | 3200MT/s |
| CAS | CL22 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Product Description |
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This Hynix 32GB DDR4 RAM module is built for reliable performance in server and workstation environments. It operates at 3200MHz, delivering fast and stable memory access to support demanding workloads and multitasking. Often found in data centers or enterprise systems, this module is designed to maintain data accuracy through ECC technology, which detects and corrects memory errors automatically. IT professionals and system builders frequently choose this memory for systems where uptime and data reliability are critical. Key Features
This memory module is commonly deployed in enterprise servers, workstations, and storage systems where stability is essential. Its error-correcting capability helps prevent system crashes and data loss, making it a practical choice for IT infrastructures that demand reliable operation around the clock. |
Use Cases |
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The Hynix HMAA4GR7CJR4N-XN 32GB DDR4-3200MHz ECC memory module is designed for server and enterprise environments where data integrity and system reliability are critical. It is well-suited for IT infrastructures requiring robust error correction and consistent performance under heavy workloads. How It's Used:
This ECC memory module enhances operational stability and supports scalability by reducing the risk of memory-related errors. Its design enables IT teams to maintain consistent system performance and reliability in demanding computing environments. |