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Product Overview |
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The HPE P22808-001 EPYC 7232P is a server-class processor that fits into select HPE servers, providing a reliable 8-core solution for business workloads. It balances processing power with energy efficiency and is ideal for virtualization, database operations, and general server tasks, making it a practical component in enterprise data centers. |
General Information |
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| Brand | HPE |
| Part Number | P22808-001 |
Technical Information |
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| Processor Family | EPYC Rome |
| # Of Cores | 8 Core |
| Total Threads | 16 |
| Max Turbo Frequency | 3.2 GHz |
| Base Clock Speed | 3.1 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Thermal Design Power | 120 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This HPE P22808-001 processor is built for server environments that require reliable multi-core performance. It is commonly used in data centers and enterprise servers, handling demanding compute tasks efficiently. IT professionals and system administrators benefit from its balance of power and thermal management, making it suitable for workloads like virtualization, database management, and cloud applications. Key Features
The processor generally appears in enterprise rack servers and blade systems, where consistent performance under load is crucial. It helps maintain system stability and responsiveness during multi-user access or batch processing, making it a reliable choice for business IT infrastructure. |
Use Cases |
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The HPE P22808-001 EPYC 7232P processor is commonly deployed in enterprise data centers and mid-sized server environments requiring efficient processing power for multi-threaded workloads. It is well-suited for IT teams managing virtualization infrastructures and database servers that demand consistent compute performance without excessive power consumption. How It's Used:
This processor enhances operational efficiency by delivering stable, scalable performance tailored to data center workloads. Its balance of core count and power consumption enables organizations to optimize resource allocation while maintaining responsiveness under concurrent processing demands. |