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Product Overview |
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The HP P24961-B21 Xeon Gold 6248R is a 24-core processor that fits into high-performance server setups. It provides dependable processing power for workloads that require multiple cores and threads, often used in virtualized environments and data centers where efficiency and scale matter. |
General Information |
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| Brand | HP |
Technical Information |
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| Processor Family | Xeon Gold |
| # Of Cores | 24 Core |
| Total Threads | 48 |
| Max Turbo Frequency | 4.0 GHz |
| Base Clock Speed | 3.0 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 35.75 MB |
| Thermal Design Power | 205 W |
Memory Specifications |
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| Max Memory Size | 1 TB |
| Memory Types | DDR4-2933 |
| Max Memory Channels | 6 |
| Bandwidth | 140.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
Product Description |
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The HP P24961-B21 Xeon Gold 6248R is a powerful server processor built for demanding data center applications. It is often found in enterprise servers where multi-core performance and efficiency are essential. This processor is commonly used in virtualization, cloud computing, and heavy computational workloads. Key Features
This processor is typically deployed in data centers and enterprise IT infrastructures. It plays a key role in ensuring smooth operation of critical applications and services by handling large volumes of simultaneous compute tasks without compromise. |
Use Cases |
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The HP P24961-B21 Xeon Gold 6248R processor is optimized for enterprise-grade server environments requiring substantial multi-core processing power. It is well-suited for IT infrastructures that handle virtualization, complex simulations, and large-scale data analytics, particularly in data centers and high-performance computing clusters. How It's Used:
This processor enhances operational efficiency by delivering scalable performance across multi-threaded applications, allowing IT teams to optimize resource allocation and maintain high throughput under demanding conditions. |