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Product Overview |
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The Hynix 32GB 4Rx4 PC4-2400T memory module delivers substantial memory capacity and solid performance suited for servers and workstations. It fits into environments where dependable and consistent memory operation is necessary, supporting the smooth running of resource-heavy applications without unnecessary interruptions. |
General Information |
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| Brand | SK Hynix |
| Part Number | HMA84GL7AMR4N-UH |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-19200 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 4Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2400 MT/s |
| Bandwidth | 19200 MB/s |
| Native Speed | 2400 MHz |
Physical Characteristics |
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| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Assembly Required | Yes |
Product Description |
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This Hynix 32GB memory module is built to provide reliable and fast memory performance in demanding computing environments. It’s commonly used in servers and workstations that require large amounts of memory to handle intensive workloads smoothly. IT professionals and system builders often rely on this module when upgrading or building systems that need stable and high-capacity RAM. Key Features
This memory module is typically installed in enterprise servers, data centers, or high-end workstations where performance and reliability are critical. It helps systems manage multiple applications or large databases with fewer slowdowns, contributing to overall system responsiveness and uptime. |
Use Cases |
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The HMA84GL7AMR4N-UH 32GB DDR4 ECC Registered LRDIMM is optimized for server and workstation environments requiring high memory reliability and capacity. It is particularly suited to IT infrastructures where workload stability and error correction are critical to maintain uninterrupted operations. How It's Used:
This memory module enables scalable and reliable system performance by reducing downtime risks associated with memory errors. It supports efficient data processing in critical applications, contributing to overall operational continuity and resource optimization. |