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Product Overview |
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The HPE P39055-001 EPYC 7413 processor delivers reliable multi-core performance tailored for enterprise servers. It fits into environments requiring robust processing power for virtualization, data analytics, and general server workloads without pushing thermal or power limits excessively. |
General Information |
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| Brand | HPE |
| Part Number | P39055-001 |
Technical Information |
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| Processor Family | EPYC Milan |
| # Of Cores | 24 Core |
| Total Threads | 48 |
| Max Turbo Frequency | 3.025 GHz |
| Base Clock Speed | 2.65 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 180 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 |
Miscellaneous |
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| Compliance Standards | RoHS |
Product Description |
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This HPE P39055-001 features the AMD EPYC 7413 CPU, built for handling demanding server tasks. It’s commonly used in data centers and enterprise servers where multi-core processing and efficiency are critical. Often found in virtualized environments and high-performance computing setups, this processor benefits IT administrators and organizations aiming to balance power and performance. Key Features
Typically deployed in enterprise servers, this processor handles database management, virtualization, and analytics smoothly. Its power profile and core count make it a solid choice for medium to large-scale server environments. |
Use Cases |
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The HPE EPYC 7413 24-Core processor is designed for enterprise-grade server environments where sustained multi-threaded performance and energy efficiency are critical. It is particularly beneficial for IT teams managing data centers and virtualization clusters that demand high computing throughput without excessive power consumption. How It's Used:
This processor enables scalable and efficient server configurations by balancing performance and power usage, helping organizations maintain operational continuity while supporting growing workload demands. |