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HPE P52716-001 64GB DDR4-2933MHz LRDIMM 4Rx4 CL21 Memory
- Capacity: 64GB
- Type: DDR4
- Speed: 2933MHz
- Form Factor: LRDIMM (Load-Reduced DIMM)
- Rank: 4Rx4 (Quad Rank x4)
- Latency: CL21
- Designed for HPE servers requiring high memory capacity.
- Supports demanding enterprise workloads.
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Product Overview
The HPE P52716-001 is a 64GB DDR4-2933MHz LRDIMM memory module. It features a 4Rx4 configuration and CL21 latency, designed for high-capacity server memory applications.
Technical Information
| Memory Type | DDR4 SDRAM |
| Form Factor | LRDIMM |
| Capacity | 64GB |
| Speed | 2933MHz |
| Rank | 4Rx4 |
Additional Specifications
| CAS Latency | CL21 |
| Voltage | 1.2V |
| Brand | HPE |
| SKU | P52716-001 |
Product Description
The HPE P52716-001 is a 64GB DDR4 Load-Reduced DIMM (LRDIMM) memory module, operating at a speed of 2933MHz. LRDIMMs are designed to support significantly higher memory capacities per module and per system compared to standard RDIMMs, making them ideal for memory-intensive enterprise applications. This is achieved through an onboard buffer chip that isolates the memory chips from the memory controller's load. This module features a 4Rx4 configuration, indicating it is quad-rank, with each rank utilizing x4 DRAM chips. Quad-rank modules provide the highest density and can offer performance benefits in certain server architectures by increasing the number of memory banks available to the controller. The CAS Latency (CL) is rated at CL21, which is a timing parameter indicating the number of clock cycles required to access data after a command is issued. With its substantial 64GB capacity and DDR4-2933MHz speed, the HPE P52716-001 is engineered for high-performance servers and workstations that require vast amounts of memory. This includes environments running large-scale virtualization, in-memory databases, big data analytics, and complex scientific simulations. The P52716-001 SKU ensures compatibility and reliability within HPE's server ecosystem, providing a robust solution for the most demanding computing tasks.
