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Product Overview |
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The HPE Smart 64GB DDR4 2666MHz Memory Module is designed to provide enhanced memory capacity and speed for HPE servers. It fits neatly into enterprise setups, helping to keep systems running efficiently by handling large data loads and supporting critical computing tasks. |
General Information |
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| Brand | HPE |
| Part Number | P05592-H21 |
Technical Information |
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| Memory Capacity | 64GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-21300 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 4Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2666MHz |
| Bandwidth | 21300 MB/s |
| Native Speed | 2666MHz |
| CAS | 19 |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
| Assembly Required | Yes |
Product Description |
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This 64GB DDR4 memory module is built for HPE server environments, offering a solid balance between capacity and speed. It operates at 2666MHz, providing responsive data handling and improved multitasking capabilities. Often found in enterprise servers, this module is geared toward IT professionals seeking to expand or upgrade existing memory for better overall system efficiency. Key Features
This memory module is commonly deployed in data centers and corporate IT infrastructures where reliability and speed are critical. Upgrading with this module can help reduce bottlenecks and maintain consistent server performance during peak usage. |
Use Cases |
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The HPE 64GB DDR4 2666MHz Server Memory Module is primarily deployed in enterprise-grade server environments where large-scale data processing and memory-intensive applications are common. IT administrators managing virtualization platforms and data analytics workloads benefit from its high capacity and speed. How It's Used:
This memory module facilitates operational efficiency by enabling servers to handle larger datasets and more concurrent processes. It supports scalability by allowing IT teams to expand memory resources to meet evolving workload requirements without compromising system stability. |