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| Product Overview |
|---|
The P38726-B21 HPE EPYC 7443 processor features 24 cores operating at a base frequency of 2.85GHz, built on AMD's EPYC architecture to support high concurrency and efficient power usage in server environments. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P38726-B21 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Milan |
| # Of Cores | 24 Core |
| Total Threads | 48 |
| Base Clock Speed | 2.85 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| 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 P38726-B21 HPE EPYC 7443 2.85GHz 24-Core Processor is a powerful server-grade CPU designed to deliver robust processing capabilities for enterprise applications. It is typically used in data centers, cloud computing environments, and high-performance computing clusters where reliability and scalability are critical. This processor benefits IT administrators, system architects, and organizations requiring efficient handling of complex workloads such as virtualization, database management, and large-scale analytics. Key Features
Built to enhance server performance and reliability, the P38726-B21 processor supports demanding enterprise workloads with ease. Its architecture allows for efficient parallel processing, making it suitable for modern data-intensive applications. With its combination of core count, speed, and energy efficiency, this processor provides a balanced solution for organizations looking to optimize their IT infrastructure. |
| Use Cases |
|---|
The P38726-B21 HPE EPYC 7443 processor is designed to handle a variety of demanding computing tasks across enterprise IT infrastructure. How It's Used:
Its multi-core design and robust architecture allow organizations to deploy scalable and efficient systems that meet evolving computational demands. |