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| Product Overview |
|---|
The P63503-001 HPE EPYC 9684X 2.25GHz 128-Core Processor combines high core count with robust clock speed to deliver scalable performance suitable for demanding server and data center applications. It features advanced security, multi-socket support, and high memory bandwidth to optimize enterprise workloads effectively. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P63503-001 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| Total Threads | 256 |
| Base Clock Speed | 2.25 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Memory Specifications | |
|---|---|
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P63503-001 HPE EPYC 9684X is a powerful 128-core processor operating at a base clock speed of 2.25GHz, designed to deliver exceptional performance in demanding server workloads. This processor is commonly used in enterprise servers and high-density data center environments where large-scale computing power is essential. Engineered to handle intensive tasks such as virtualization, high-performance computing, and large database management, this processor supports complex and scalable IT infrastructures. IT professionals and data center administrators benefit from its ability to efficiently manage multi-threaded applications and workloads. Key Features
The P63503-001 processor integrates seamlessly into HPE server platforms, providing a reliable and scalable solution for organizations requiring advanced computing resources. Its architecture supports modern workloads, making it a solid choice for evolving IT environments. |
| Use Cases |
|---|
This processor is designed to address the needs of complex computing environments requiring high throughput and reliability. How It's Used:
With its extensive core count and optimized architecture, the P63503-001 processor is well-suited for organizations aiming to maximize server efficiency and computational density. |