
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The AMD EPYC 9654P processor offers a combination of high core count and large cache size tailored for advanced computing needs. It fits into server environments where parallel processing and data throughput are critical, providing the backbone for enterprise applications and cloud infrastructures. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | AMD EPYC 9654P |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| Total Threads | 192 Threads |
| Max Turbo Frequency | 3.70 GHz |
| Base Clock Speed | 2.40 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 384 MB L3 |
| Thermal Design Power | 360 W |
| Memory Specifications | |
|---|---|
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | Up to 460.8 GB/s (with DDR5-4800) |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Compliance Standards | RoHS |
| Product Description |
|---|
The AMD EPYC 9654P is a high-core-count server processor designed for demanding data center workloads. It is commonly found in environments requiring intensive parallel processing, large memory capacity, and efficient data throughput. Built for server administrators and IT professionals managing compute-heavy applications, this processor handles tasks like virtualization, cloud services, and big data analytics effectively. Key Features
This processor is typically deployed in high-performance computing clusters, large-scale virtualization hosts, and enterprise servers. Its core density and cache size provide the necessary resources for parallel processing tasks while maintaining responsiveness. The AMD EPYC 9654P plays a crucial role in supporting robust and scalable data center operations. |
| Use Cases |
|---|
The AMD EPYC 9654P processor is commonly deployed in environments that demand scalable and efficient computing power. How It's Used:
Its combination of core density and cache size enables it to handle diverse workloads, supporting businesses in achieving improved performance and resource optimization. |