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Product Overview |
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The HPE P39067-001 AMD EPYC 16-Core 7313P processor delivers reliable multi-core performance tailored for server and data center use. It fits into enterprise environments where balanced power consumption and strong processing capabilities are essential for varied workloads. |
General Information |
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| Brand | AMD |
| Part Number | P39067-001 |
Technical Information |
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| Processor Family | EPYC Milan |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.7 GHz |
| Base Clock Speed | 3.0 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 155 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4-3200 |
| 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 AMD EPYC 16-core 7313P processor is built for handling demanding server workloads with efficiency and reliability. It’s commonly found in enterprise-grade servers and data centers where multi-threaded performance and energy management are important. Often used in virtualization, cloud computing, and high-performance computing environments, this CPU suits IT professionals and system administrators who need scalable and dependable processing power. Key Features
This processor is typically deployed in data centers running cloud services, databases, and virtual machines. It plays a crucial role in managing multi-user workloads while maintaining thermal efficiency and system stability. |
Use Cases |
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The AMD EPYC 7313P processor is designed for enterprise data centers requiring robust and efficient multi-core processing. It is particularly suited for environments that demand high computational throughput while maintaining energy efficiency, such as virtualization hosts and database servers in medium to large-scale IT infrastructures. How It's Used:
This processor enables IT organizations to optimize operational efficiency by balancing power consumption and computational capacity. Its scalability supports evolving workload demands, ensuring sustained performance in complex server deployments. |