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Product Overview |
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The HPE PC4-3200AA-L 3DS Smart 256GB 8RX4 Memory Module delivers substantial memory capacity for enterprise-grade servers, fitting well into setups that demand large and reliable RAM resources. It manages high data throughput and supports critical workloads, serving as a key component in robust computing platforms. |
General Information |
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| Brand | HPE |
| Part Number | P06039-B21 |
Technical Information |
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| Memory Capacity | 256GB |
| Memory Technology | DDR4 |
| Module Type | LRDIMM |
| RAM Standard | PC4-25600 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 8Rx4 |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 3200 MT/s |
| 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 |
| Compliance Standards | RoHS, CE |
| Assembly Required | Yes |
Product Description |
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This HPE PC4-3200AA-L 3DS Smart 256GB 8RX4 Memory Module is designed to provide large-scale memory capacity for demanding server workloads. Often found in data centers and enterprise servers, it supports applications requiring fast and reliable memory access. Built for HPE systems, this module benefits IT professionals and system administrators who need to maximize memory density and performance without compromising stability. Key Features
This memory module is typically installed in enterprise servers or high-performance computing setups where memory bandwidth and capacity are critical. Its role is to ensure smooth multitasking and data handling in complex environments without bottlenecks. |
Use Cases |
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The HPE 256GB PC4-3200AA-L 3DS 8RX4 Memory Module is designed for high-density server environments requiring substantial memory capacity to handle intensive workloads. It is ideal for enterprise IT infrastructures that run virtualization, large databases, and in-memory analytics where consistent performance and stability are critical. How It's Used:
This memory module supports operational efficiency by enabling large memory footprints while maintaining server stability. Its high capacity and design facilitate scalability for growing workloads, ensuring that infrastructure can adapt to increasing data processing requirements without performance degradation. |