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| Product Overview |
|---|
The HPE P02978-B21 DL560 Gen10 Xeon Gold 5218 CPU delivers solid processing power designed for demanding server environments. It fits within the HPE DL560 Gen10 series, providing a balance of speed and core count that suits virtualization, database operations, and other enterprise workloads. It’s a reliable choice for IT teams needing a processor that can handle heavy computing tasks with stability. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P02978-B21 |
| Technical Information | |
|---|---|
| Processor Family | Xeon Gold |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.9 GHz |
| Base Clock Speed | 2.3 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 22 MB |
| Thermal Design Power | 125 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 |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Product Description |
|---|
This HPE P02978-B21 processor is built for the DL560 Gen10 server, providing robust performance with its 16-core Intel Xeon Gold 5218 CPU running at 2.3GHz. It’s commonly found in data centers and enterprise environments where reliable processing power is needed for demanding applications. Typically used by IT professionals and businesses that require scalable and efficient computing, this CPU handles tasks like virtualization, database management, and large-scale analytics smoothly. Its architecture supports multi-threaded workloads, making it suitable for various server roles. Key Features
You’ll find this processor deployed in mid-to-large scale servers where uptime and performance consistency are critical. It plays a key role in environments handling complex workloads without needing frequent hardware changes. Its multi-core setup helps maintain smooth operation across various applications simultaneously. |