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Product Overview |
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The HPE 32GB DDR4 PC4-23400 2933MHz 2RX4 memory module provides substantial memory capacity and speed for enterprise servers. It fits into HPE server systems requiring dependable memory to support performance-intensive applications and workloads. |
General Information |
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| Brand | HPE |
| Part Number | P19252-001 |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-23400 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 2Rx4 (Dual Rank x4) |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2933MHz |
| Bandwidth | 23400 MB/s |
| Native Speed | 2933MT/s |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, UL |
| Assembly Required | Yes |
Product Description |
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This 32GB DDR4 memory module is designed to enhance system performance by providing fast and stable memory capacity. It's commonly used in HPE servers where reliable and efficient memory is crucial for handling intensive computing tasks. Built for IT professionals and system administrators, this module fits into environments that demand consistent uptime and smooth multitasking. Often found in enterprise data centers and high-performance workstations, it supports applications that require rapid data access and processing. Key Features
This memory module is typically deployed in business-critical server environments where consistent performance is needed. It helps maintain smooth operations during demanding tasks like virtualization, database management, and large-scale computations. |
Use Cases |
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The HPE 32GB DDR4 PC4-23400 2933MHz 2RX4 memory module is designed for enterprise server environments that demand high memory capacity and speed. It is particularly suited for IT infrastructures running virtualization, database management, and analytics workloads where reliable and efficient memory performance is critical. How It's Used:
This memory module contributes to operational efficiency by providing scalable capacity and consistent performance under intensive workloads. It helps maintain system responsiveness and throughput in environments where memory is a critical resource for application stability and speed. |