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| Product Overview |
|---|
The AMD EPYC 9684X processor packs 96 cores and a large cache to handle intense server workloads. It fits into high-end server platforms using the SP5 socket, aimed at delivering consistent performance for cloud computing and virtualization tasks. This chip balances power use with processing capability to serve demanding data center roles without compromise. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | AMD EPYC 9684X |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| Total Threads | 192 |
| Base Clock Speed | 2.55 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 1152 MB L3 |
| Thermal Design Power | 400 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | 460.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Product Description |
|---|
The AMD EPYC 9684X is a powerful processor built for demanding server environments where handling large-scale computing tasks is essential. It is often found in data centers and enterprise servers that require high concurrency and reliable performance. This CPU suits IT professionals and system architects who need to run virtual machines, cloud applications, and data analytics efficiently. Its architecture supports intensive workloads that benefit from many cores working in parallel. Key Features
Commonly deployed in large-scale computing setups, the EPYC 9684X provides the backbone for cloud services and enterprise databases. It helps maintain smooth operation and responsiveness in environments where uptime and scalability are critical. |
| Use Cases |
|---|
The AMD EPYC 9684X processor is intended for environments requiring extensive parallel processing and high reliability. How It's Used:
Its extensive core count and cache make it a versatile choice for demanding data-intensive applications where performance and scalability are critical. |