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Product Overview |
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The HPE P54061-001 AMD EPYC 9534 is a high-performance 64-core processor designed for demanding server environments. It fits well in data centers and enterprise servers, providing the processing power needed for intensive workloads without compromising energy efficiency. |
General Information |
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| Brand | AMD |
| Part Number | P54061-001 |
Technical Information |
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| Processor Family | EPYC Genoa |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Base Clock Speed | 2.45 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
Memory Specifications |
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| Memory Types | DDR5 |
| Max Memory Channels | 12 |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This AMD EPYC 9534 processor delivers substantial computing power with 64 cores operating at a base frequency of 2.45 GHz. It's built for environments that require heavy multitasking, virtualization, and data-intensive processing. Often found in enterprise-grade servers, this processor handles demanding workloads in cloud infrastructure, data centers, and high-performance computing setups. IT professionals and organizations focused on scalable, efficient computing benefit from its capabilities. Key Features
This processor is typically deployed in large-scale computing environments where reliability and speed are critical. Its role in powering cloud services and enterprise applications helps organizations maintain smooth and scalable operations. |
Use Cases |
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The HPE P54061-001 AMD EPYC 9534 processor is typically deployed in enterprise data centers requiring high core density and efficient processing for virtualization and cloud-native applications. It is particularly suited for IT teams managing large-scale, compute-intensive workloads that demand reliable scalability and lower power consumption. How It's Used:
This processor enhances operational efficiency by delivering scalable performance tailored to complex workloads. Its architecture supports data centers in maintaining consistent throughput while optimizing energy consumption across demanding IT environments. |