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| Product Overview |
|---|
The P73377-B21 HPE EPYC 9575F processor features 64 cores, a 3.3GHz base clock, multi-level cache, PCIe 4.0 support, and is designed for high-performance server applications with enhanced scalability and reliability. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P73377-B21 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Base Clock Speed | 3.3 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Memory Specifications | |
|---|---|
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P73377-B21 HPE EPYC 9575F is a powerful 64-core processor engineered to deliver exceptional computing performance for demanding workloads. Operating at a base clock speed of 3.3GHz, this processor is built on advanced architecture tailored for data centers and enterprise environments. Typically found in high-end HPE servers, the EPYC 9575F supports intensive applications such as virtualization, large-scale databases, and high-performance computing tasks. IT professionals and system administrators benefit from its robust multi-threading capabilities and efficient processing power. Key Features
This processor integrates seamlessly within HPE's server architecture, providing a balance of speed, efficiency, and scalability. It is ideal for organizations requiring substantial computational resources to support critical applications. Overall, the P73377-B21 HPE EPYC 9575F delivers a powerful solution for enterprises seeking to enhance their server performance and manage complex workloads effectively. |
| Use Cases |
|---|
The P73377-B21 HPE EPYC 9575F processor is suited for environments demanding high compute density and parallel processing capability. How It's Used:
Its robust core count and processing speed make it a preferred choice for enterprises aiming to optimize performance and scalability in their data centers. |