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| Product Overview |
|---|
The P24467-B21 HPE Xeon Gold 6226R is a powerful server processor designed to provide strong multi-core performance for demanding workloads. It fits well within enterprise server environments where handling large-scale data processing and virtualization tasks is critical. Its blend of core count and clock speed makes it a practical choice for IT teams focused on reliable and efficient server performance. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P24467-B21 |
| Technical Information | |
|---|---|
| Processor Family | Xeon Gold |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.9 GHz |
| Base Clock Speed | 2.9 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 22 MB |
| Thermal Design Power | 150 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 1 TB |
| Memory Types | DDR4-2933 |
| Max Memory Channels | 6 |
| Bandwidth | 140.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 5.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P24467-B21 HPE Xeon Gold 6226R processor is built for demanding computing environments that require robust multi-core performance. Often found in enterprise servers and data centers, this CPU handles heavy workloads like virtualization, database processing, and analytics with ease. Engineered for IT professionals managing complex infrastructure, it delivers reliable processing power and scalable performance. The processor's blend of speed and core count makes it suitable for businesses needing efficient, consistent server performance. Key Features
This processor is commonly deployed in rack and blade servers powering medium to large-scale IT operations. It plays a critical role in maintaining smooth server operations, improving computation speeds, and supporting heavy multitasking scenarios. By delivering consistent performance under load, it helps organizations maintain uptime and meet the demands of modern cloud and virtualization workloads. |