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| Product Overview |
|---|
The P22926-B21 HPE Xeon Gold 6240m processor integrates 18 cores running at 2.6GHz with a 24.75MB cache and a 10.4GT/s QPI interconnect, delivering balanced multi-threaded performance with a 150W power envelope suited for demanding server applications. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P22926-B21 |
| Technical Information | |
|---|---|
| Processor Family | Xeon Gold |
| # Of Cores | 18 Core |
| Total Threads | 36 |
| Max Turbo Frequency | 3.9 GHz |
| Base Clock Speed | 2.6 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 24.75 MB |
| Thermal Design Power | 150 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 1 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 6 |
| Bandwidth | 140.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P22926-B21 HPE Xeon Gold 6240m processor is a high-performance server CPU designed for enterprise-grade workloads. Featuring 18 cores and a base frequency of 2.6GHz, it delivers robust processing power suitable for demanding applications in data centers and cloud environments. This processor is commonly found in HPE servers where scalable, multi-threaded performance is essential. It benefits IT professionals, system administrators, and organizations seeking to optimize computing infrastructure for virtualization, data analytics, and large-scale computing tasks. Key Features
With its combination of core count, cache size, and interconnect speed, the P22926-B21 processor provides a reliable foundation for high-throughput, parallel workloads. It supports advanced server functions and enhances overall system responsiveness under heavy multi-user demands. |
| Use Cases |
|---|
The P22926-B21 HPE Xeon Gold 6240m processor is utilized in enterprise and data center environments requiring scalable and efficient compute resources. How It's Used:
Its architecture enables consistent performance across parallel workloads, making it suitable for a variety of intensive computational scenarios. |