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| Product Overview |
|---|
The P73360-B21 HPE EPYC 9555 3.2GHz 64-Core Processor is a high-core-count server CPU designed for demanding multi-threaded workloads, featuring a 3.2GHz base clock speed, advanced security capabilities, and optimized compatibility with HPE server platforms to support scalable and efficient data center operations. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P73360-B21 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Base Clock Speed | 3.2 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 P73360-B21 HPE EPYC 9555 3.2GHz 64-Core Processor is a cutting-edge CPU designed to deliver exceptional processing power for enterprise-grade servers. This processor is commonly deployed in data centers and high-performance computing environments where demanding workloads require sustained performance and reliability. Engineered to integrate seamlessly with HPE server systems, the EPYC 9555 supports intensive multi-threaded applications, large-scale virtualization, and complex data analytics. IT professionals and organizations benefit from its efficiency and scalability to meet evolving computational demands. Key Features
With its robust core count and optimized architecture, the P73360-B21 processor enables servers to handle heavy workloads with improved throughput and reduced latency. This makes it a reliable choice for enterprises aiming to maximize server performance and efficiency. |
| Use Cases |
|---|
The P73360-B21 processor is utilized in environments that require substantial computing power and scalability. It supports diverse applications across various industries where high core counts and processing speeds are critical. How It's Used:
This processor enables organizations to efficiently manage complex and resource-intensive workloads, ensuring responsiveness and reliability in mission-critical server environments. |