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Product Overview |
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The P38720-B21 processor from HPE incorporates the AMD EPYC 7713P, offering a robust solution for server-level computing. It fits well in scalable data center setups, providing the raw processing capability needed for tasks like virtualization, large-scale data processing, and cloud infrastructure management. |
General Information |
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| Brand | HPE |
| Part Number | P38720-B21 |
Technical Information |
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| Processor Family | EPYC Milan |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Max Turbo Frequency | 3.675 GHz |
| Base Clock Speed | 2.0 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 256 MB |
| Thermal Design Power | 225 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 |
Miscellaneous |
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| Compliance Standards | RoHS, CE, FCC |
Product Description |
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The P38720-B21 is a powerful server processor featuring the AMD EPYC 7713P chip, designed to handle demanding computational tasks. Often found in enterprise servers and data center environments, this processor is built for applications requiring extensive parallel processing and high efficiency. Engineers, data scientists, and IT professionals leverage this processor to run complex simulations, large databases, and virtualization workloads. Its high core count and efficient power usage make it suitable for heavy multitasking and scalable server deployments. Key Features
This processor is typically deployed in data centers and enterprise environments where heavy processing power is necessary. Its design supports efficient workload management and can help reduce bottlenecks in intensive computing tasks. Using the P38720-B21 processor can improve system responsiveness and throughput in environments where continuous high performance is critical. |
Use Cases |
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The HPE P38720-B21 featuring the AMD EPYC 7713P is engineered for environments demanding high core counts and consistent multi-threaded processing. It serves well in infrastructure setups that need to handle dense virtualization, large-scale analytics, or intensive computational workloads typical in enterprise and cloud data centers. How It's Used:
By integrating into these scenarios, the processor enables organizations to scale compute capacity with high efficiency while maintaining operational stability. Its architecture facilitates sustained performance under heavy parallel loads, optimizing throughput for critical IT services. |