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Product Overview |
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The HPE P56096-B21 EPYC 9554 processor delivers substantial multi-core processing power tailored for demanding server workloads. It's a key component in modern data centers, enabling efficient handling of complex computations and large-scale virtualization tasks. |
General Information |
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| Brand | HPE |
| Part Number | P56096-B21 |
Technical Information |
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| Processor Family | EPYC Genoa |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Base Clock Speed | 3.1 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 256 MB |
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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The HPE P56096-B21 features the AMD EPYC 9554 processor, a powerful 64-core CPU that handles demanding compute tasks with ease. Often found in enterprise servers, this processor is built for multi-threaded applications and heavy data processing. This processor is commonly used in data centers and cloud infrastructure, providing the backbone for virtualization, databases, and large-scale analytics. IT professionals and system administrators benefit from its robust performance and scalability. Key Features
This processor is typically deployed in enterprise-grade servers within data centers or cloud platforms. It plays a crucial role in managing large volumes of tasks simultaneously, helping businesses run applications smoothly and efficiently. |
Use Cases |
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The HPE P56096-B21 EPYC 9554 processor is optimized for deployment in high-density server racks within enterprise data centers and cloud service providers. It benefits IT professionals managing virtualization workloads, complex simulations, and large-scale data processing where multi-core performance and energy efficiency are critical. How It's Used:
This processor enhances operational efficiency by delivering scalable compute performance that can adapt to varying workload demands. Its architecture supports sustained throughput for demanding server tasks, making it suitable for organizations aiming to optimize resource utilization and maintain performance consistency across their compute infrastructure. |