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Product Overview |
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The AMD EPYC 7251 is a robust 8-core server processor that fits well in data centers and enterprise servers. It delivers reliable multi-threaded performance at a moderate clock speed, making it suitable for virtualized environments and multi-user applications where consistent computing power is required. |
General Information |
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| Brand | AMD |
| Part Number | PS7251BFV8SAF |
Technical Information |
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| # Of Cores | 8 Core |
| Total Threads | 16 |
| Max Turbo Frequency | 2.9 GHz |
| Base Clock Speed | 2.1 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | SP3 |
| Cache | 64 MB |
| Thermal Design Power | 120 W |
Memory Specifications |
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| Max Memory Size | 2 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 170.7 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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The AMD EPYC 7251 is a server-grade processor designed to handle demanding workloads efficiently. It is commonly used in enterprise servers and data centers where reliable multi-core processing power is essential. IT professionals and system administrators often choose this CPU for its combination of core count and performance, especially when running virtualized environments or database management tasks. Key Features
This processor is typically found in rack servers and cloud infrastructure setups, where sustained multi-core performance matters. It helps maintain smooth operation across various enterprise workloads without excessive power consumption. |
Use Cases |
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The AMD EPYC 7251 processor is commonly deployed in enterprise IT infrastructures where reliable multi-threaded performance is essential. It serves well in environments requiring virtualization and efficient workload distribution, such as medium-sized data centers and cloud service providers handling diverse tenant applications. How It's Used:
This processor enables scalable and efficient operation for mid-range server deployments, balancing core count and power consumption to maintain performance under multi-threaded loads. Its integration facilitates streamlined management of virtualized resources and supports expanding computational demands without excessive overhead. |