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Product Overview |
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The Hynix 8GB DDR3 PC3-12800 ECC 2Rx4 memory module provides reliable, error-correcting memory for servers and workstations. It fits into systems that demand stable memory performance and is designed to reduce the chances of data corruption in environments where uptime is key. |
General Information |
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| Brand | SK Hynix |
| Part Number | HMT31GR7CFR4A-PB |
Technical Information |
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| Memory Capacity | 8GB |
| Memory Technology | DDR3 |
| Module Type | RDIMM |
| RAM Standard | PC3-12800 |
| Pin Count | 240-Pin |
| Error Correction | ECC |
| Rank | 2Rx4 |
| Voltage | 1.5V |
Performance |
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| Bus Speed | 1600MHz |
| Bandwidth | 12800 MB/s |
| Native Speed | 1600MHz |
Physical Characteristics |
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| Package | Single module; anti-static bag |
| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
| Assembly Required | Yes |
Product Description |
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This Hynix 8GB DDR3 memory module is built for systems that require reliable performance and error correction. It's commonly used in servers and workstations where data integrity matters. IT professionals and system administrators often rely on modules like this to maintain system uptime and prevent memory-related errors. Key Features
This memory is typically found in data centers and enterprise environments where stability is critical. It supports workloads that require continuous uptime and ensures minimal disruption due to memory faults. |
Use Cases |
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The HMT31GR7CFR4A-PB 8GB DDR3 ECC memory module is specifically designed for enterprise-grade servers and workstations requiring high reliability and data integrity. Its registered DIMM architecture suits environments where maintaining uptime and preventing memory errors are critical, such as virtualization platforms and database management systems. How It's Used:
This module supports operational efficiency by minimizing memory-related faults in demanding server environments, allowing IT infrastructures to scale with reliable performance. It ensures data accuracy and system stability, which are fundamental for managing critical workloads in enterprise and cloud infrastructures. |