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HP P9H76AR 256GB Kit (4x64GB) DDR4-2133MHz LRDIMM 4Rx4 CL15 Memory
- 256GB Total Capacity (4x64GB modules)
- DDR4 SDRAM Technology
- Speed: 2133MHz
- Form Factor: LRDIMM (Load-Reduced Dual In-line Memory Module)
- Rank: 4Rx4 (Quad Rank x4)
- CAS Latency: CL15
- Designed for extreme-scale enterprise servers and HPC
- Enables massive in-memory data processing and virtualization
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Product Overview
This HP memory kit offers an immense 256GB capacity, composed of four 64GB LRDIMM modules. It is engineered for the highest-end servers and workstations demanding maximum memory resources for extreme computational tasks.
Technical Information
| Memory Size | 256GB |
| Memory Type | DDR4 SDRAM |
| Speed | 2133MHz |
| Form Factor | LRDIMM |
Additional Specifications
| Rank | 4Rx4 |
| CAS Latency | CL15 |
| Module Count | 4 x 64GB |
Product Description
The HP P9H76AR represents the pinnacle of memory capacity for enterprise-grade systems, providing a staggering 256GB of RAM through four 64GB LRDIMM modules. This kit is specifically designed for the most demanding computational environments, including supercomputing, large-scale data analytics, complex scientific simulations, and massive virtualization deployments where memory is often the primary bottleneck. Utilizing DDR4 technology, this memory kit offers superior bandwidth and efficiency, crucial for handling vast amounts of data. The LRDIMM (Load-Reduced Dual In-line Memory Module) architecture is essential for achieving such high capacities, as it buffers the command and address signals, reducing the electrical load on the memory controller and allowing for more memory modules and higher densities per channel. The 4Rx4 rank configuration further maximizes parallelism and data throughput. Operating at 2133MHz with a CL15 latency, this memory kit ensures that even with extreme capacities, performance remains high and responsive. It is built to the stringent standards required for HP enterprise servers and other high-performance computing platforms, guaranteeing reliability and stability under continuous heavy loads. This memory upgrade is critical for organizations pushing the boundaries of data processing and requiring the largest possible in-memory footprint.
