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| Product Overview |
|---|
The P57789-B21 HPE EPYC 7402 2.5GHz 24-Core Processor delivers a high core count and frequency combination optimized for enterprise-grade server workloads, leveraging AMD EPYC architecture to support multi-threaded processing and large-scale data handling. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P57789-B21 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Rome |
| # Of Cores | 24 Core |
| Total Threads | 48 |
| Base Clock Speed | 2.5 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 180 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P57789-B21 HPE EPYC 7402 2.5GHz 24-Core Processor is a powerful CPU designed to handle demanding workloads in enterprise and data center environments. It integrates 24 processing cores running at a base frequency of 2.5 GHz, enabling efficient multitasking and high throughput for diverse computing tasks. This processor is commonly found in HPE server systems that require robust performance for virtualization, database management, and cloud computing applications. IT professionals and organizations seeking to enhance their server capabilities benefit from its advanced architecture and processing power. Key Features
With its balance of core count and clock speed, the P57789-B21 processor supports a wide range of computational needs, from large-scale data processing to intensive application hosting. It is engineered to provide stable and efficient performance in critical IT infrastructures. |
| Use Cases |
|---|
The P57789-B21 processor is suited for environments requiring robust, scalable processing power. How It's Used:
This processor enables organizations to efficiently manage complex, multi-user computing tasks while ensuring reliability and performance in mission-critical server environments. |