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| Product Overview |
|---|
The P73260-001 HPE EPYC 9645 processor features 96 cores and 192 threads with a base clock speed of 2.3GHz, designed for enterprise servers requiring scalable multicore performance and advanced security capabilities. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P73260-001 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| Total Threads | 192 |
| Base Clock Speed | 2.3 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Memory Specifications | |
|---|---|
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P73260-001 HPE EPYC 9645 processor is a powerful computing component designed to deliver exceptional performance for demanding server applications. Featuring 96 cores and 192 threads, it enables efficient parallel processing and high throughput, making it suitable for data centers and enterprise servers. This processor is commonly found in high-density computing environments, including cloud infrastructure, large-scale virtualization, and data analytics platforms. IT professionals and system architects benefit from its scalability and robust processing capabilities. Key Features
The HPE EPYC 9645 processor delivers a balance of core count and frequency, ensuring efficient workload handling across diverse enterprise applications. Its architecture supports modern server demands while maintaining energy efficiency. This makes it a suitable choice for organizations seeking to enhance their computing infrastructure. |
| Use Cases |
|---|
The P73260-001 HPE EPYC 9645 processor is utilized in environments where high core counts and multi-threading capabilities are essential for processing large datasets and complex computations. How It's Used:
This processor supports demanding workloads by delivering consistent and reliable performance, enabling organizations to optimize their server infrastructure for current and future computational needs. |