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Product Overview |
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The HPE Smart 32GB DDR4 PC4-25600 3200MHz ECC 2RX4 Memory Module offers dependable server memory designed to support demanding workloads. It fits into HPE server systems to provide error-checked, high-speed memory that helps keep systems stable and responsive during intensive operations. |
General Information |
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| Brand | HPE |
| Part Number | P07646-K21 |
Technical Information |
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| Memory Capacity | 32GB |
| Memory Technology | DDR4 |
| Module Type | RDIMM |
| RAM Standard | PC4-25600 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 2Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 3200MHz |
| Bandwidth | 25600 MB/s |
| Native Speed | 3200 MT/s |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Assembly Required | Yes |
Product Description |
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This HPE Smart 32GB DDR4 memory module enhances server performance by providing reliable and fast memory capacity. It's commonly used in enterprise servers and data centers where stability and speed are critical. Built for IT professionals and system administrators managing demanding workloads, this ECC memory helps prevent data corruption, making it ideal for mission-critical applications. Key Features
Typically installed in rack or blade servers, this module plays a key role in maintaining system uptime and consistency. It ensures smooth operation for databases, virtualization, and heavy computing environments without unexpected glitches. |
Use Cases |
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The HPE 32GB DDR4 PC4-25600 3200MHz ECC 2RX4 Memory Module is primarily utilized in enterprise server environments that demand high reliability and speed. It is suited for IT professionals managing virtualization platforms, database servers, and large-scale compute clusters where error correction and consistent performance are critical. How It's Used:
This memory module contributes to operational stability by providing error-correcting capabilities and high-speed data throughput. Its design supports scalable infrastructure growth, ensuring that server performance remains consistent under increasing workload demands. |