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Product Overview |
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The HPE P60452-001 Xeon Gold 5416S processor combines a 16-core design with PCIe Gen-4 support to meet the needs of modern server workloads. It's tailored for use in HPE's Gen-4 server systems, providing reliable performance for multi-threaded applications in enterprise settings. |
General Information |
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| Brand | Intel |
| Part Number | P60452-001 |
Technical Information |
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| Processor Family | Xeon Gold |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Base Clock Speed | 2.0 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 10 nm |
| Socket Type | LGA 4677 |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 8 |
| Bandwidth | 307.2 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This processor is built to handle demanding computing tasks with its 16 cores and 2.0 GHz base clock speed. It's commonly used in data centers and enterprise servers where efficient processing and scalability are key. Often found in high-density server configurations, it delivers the power needed for virtualization, database management, and analytics applications. IT professionals and system administrators benefit from its balanced performance and energy efficiency. Key Features
This processor typically powers servers in enterprise and cloud data centers, where both performance and reliability are essential. Its role in accelerating computational tasks helps maintain responsiveness under heavy workload conditions. |
Use Cases |
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The HPE P60452-001 Xeon Gold 5416S processor is predominantly utilized in enterprise-grade data centers and server environments requiring robust multi-threaded processing capabilities. IT professionals managing workloads such as virtualization, large-scale database management, and high-throughput computing benefit from its PCIe Gen-4 support and multi-core architecture. How It's Used:
This processor's architecture and PCIe Gen-4 compatibility enable organizations to scale their compute resources effectively while maintaining high operational efficiency. It supports demanding workloads, ensuring that enterprise environments can handle increasing data throughput without compromising performance. |