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Product Overview |
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The HP 628974-181 16GB DDR3 memory module offers dependable performance with its error-correcting design and efficient low-voltage operation. It's tailored for use in HP server environments where stability and accuracy are necessary, fitting seamlessly into setups that prioritize reliable memory handling. |
General Information |
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| Brand | HP |
Technical Information |
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| Memory Capacity | 16GB |
| Memory Technology | DDR3 |
| RAM Standard | PC3L-10600 |
| Pin Count | 240-Pin |
| Error Correction | ECC |
| Rank | 2Rx4 |
| Voltage | 1.35V |
Performance |
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| Bus Speed | 1333MHz |
| Bandwidth | 10600 MB/s |
| Native Speed | 1333 MT/s |
| CAS | 9 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Product Description |
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This 16GB DDR3 memory module is built for servers and workstations that require reliable and efficient memory performance. With a clock speed of 1333MHz and PC3L-10600 standard, it balances speed with power-saving capabilities. Often found in enterprise environments, this ECC (Error-Correcting Code) module helps maintain data integrity by detecting and correcting memory errors automatically. It's ideal for IT professionals and organizations that need stable and error-resistant memory for critical applications. Key Features
This memory module is commonly deployed in data centers and business servers where uptime and data integrity are crucial. Its error-correcting capability helps prevent system crashes and data corruption, making it a solid choice for mission-critical workloads. |
Use Cases |
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The HP 628974-181 16GB DDR3 memory module is designed for deployment in server and workstation environments where data integrity and power efficiency are critical. Organizations running virtualization workloads or handling transactional databases will benefit from its ECC capabilities and low-voltage operation. How It's Used:
This memory module contributes to operational stability and scalability by minimizing memory errors and reducing energy use, which supports sustained server performance under varying workload conditions. |