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Product Overview |
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The HPE P56098-B21 EPYC 9124 processor is a 16-core CPU running at 3.0GHz, designed primarily for server environments. It fits into Gen4 platforms to provide reliable computing suited for data centers and enterprise applications that need balanced performance and efficiency. |
General Information |
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| Brand | HPE |
| Part Number | P56098-B21 |
Technical Information |
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| Processor Family | EPYC Genoa |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Base Clock Speed | 3.0 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 HPE P56098-B21 features the AMD EPYC 9124 processor, designed to handle demanding server applications and data center operations. It provides a solid balance of core count and clock speed, making it suitable for virtualization, cloud computing, and enterprise workloads. Often found in high-density servers, this processor is built for environments where reliability and processing power are essential. Key Features
Typically deployed in data centers and enterprise servers, this processor helps maintain smooth operations for applications requiring consistent compute power. Its architecture supports scaling up resources without compromising on stability or speed, making it a dependable choice for IT professionals managing complex workloads. |
Use Cases |
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The HPE EPYC 9124 processor is engineered for demanding server environments where reliable and efficient computing power is essential. It is particularly suited for data centers and enterprise IT infrastructures requiring consistent multi-core performance and high memory throughput to manage complex workloads. How It's Used:
By delivering a balance of core density and frequency, this processor enhances operational efficiency in heavy multitasking scenarios. Its design enables scalable growth within existing Gen4 platforms, facilitating streamlined expansion of computing resources without compromising workload performance. |