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Product Overview |
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The HPE P16112-001 128GB PC4-23400 DDR4 2933MHz LRDIMM memory module provides high-capacity, fast memory tailored for enterprise servers. It fits well in large-scale computing environments where stability and speed are critical, helping systems handle demanding workloads with ease. |
General Information |
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| Brand | HPE |
| Part Number | P16112-001 |
Technical Information |
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| Memory Capacity | 128GB |
| Memory Technology | DDR4 |
| Module Type | LRDIMM |
| RAM Standard | PC4-23400 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Voltage | 1.2V |
Performance |
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| Bus Speed | 2933 MT/s |
| Bandwidth | 23400 MB/s |
| Native Speed | 2933 MHz |
Physical Characteristics |
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| Weight | 0.50 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE |
Product Description |
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This 128GB DDR4 memory module is built for demanding server workloads that require large memory capacity and fast processing speeds. Often found in enterprise data centers, it supports applications such as virtualization, large databases, and heavy multitasking. Engineered for HPE servers, this LRDIMM module balances performance with reliability, making it a solid choice for IT professionals managing critical infrastructure. Key Features
Typically deployed in enterprise server racks, this memory module helps maintain smooth operation under heavy loads. Its large capacity and speed contribute to improved application performance and system scalability without frequent upgrades. |
Use Cases |
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The HPE 128GB DDR4 2933MHz PC4-23400 LRDIMM server memory is designed for high-demand enterprise environments where large data throughput and system stability are paramount. It is particularly suited for data centers and organizations running virtualization or in-memory analytics workloads that require reliable, high-capacity memory solutions. How It's Used:
This memory module aids in maintaining operational efficiency by providing scalable capacity and stable performance under heavy server workloads. Its implementation facilitates smoother resource allocation and higher throughput, which are crucial for demanding enterprise and data-centric applications. |