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Product Overview |
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The HPE P67090-B21 Xeon Silver 4509Y processor offers an 8-core setup running at 2.60GHz, aimed at providing balanced compute power within HPE server solutions. It fits well in environments where steady performance and energy efficiency are needed for business-critical applications. |
General Information |
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| Brand | HPE |
| Part Number | P67090-B21 |
Technical Information |
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| Processor Family | Xeon Silver |
| # Of Cores | 8 Core |
| Total Threads | 16 |
| Base Clock Speed | 2.60 GHz |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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The HPE P67090-B21 Xeon Silver 4509Y is a processor designed to provide dependable compute capacity for servers running a variety of workloads. It delivers a solid 2.60GHz base clock speed across 8 cores, making it suitable for mid-range virtualization, database, and business applications. Often found in data centers and enterprise IT environments, this CPU is built to balance power efficiency with the ability to handle concurrent tasks effectively. IT professionals and system administrators commonly choose this processor when configuring HPE servers that require stable performance without excessive power consumption. Key Features
This processor typically powers servers in corporate offices, service providers, and data centers where consistent uptime is crucial. Its efficiency and core count make it well-suited for running multiple applications simultaneously without overwhelming system resources. |
Use Cases |
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The HPE Xeon Silver 4509Y processor is typically deployed in mid-sized enterprise servers where reliable multi-core performance is essential. It is suited for IT teams managing virtualization, database workloads, or business-critical applications requiring energy-efficient yet stable compute resources. How It's Used:
This processor helps maintain operational efficiency by balancing core count and energy usage, enabling scalable server configurations. Its deployment in targeted environments ensures focused performance where predictable workloads and resource optimization are priorities. |