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| Product Overview |
|---|
The AMD Ryzen Threadripper PRO 3975WX is a powerful workstation CPU that brings 32 cores and a 3.5GHz base speed to demanding professional environments. It fits into Socket sTRX4 platforms, offering extensive cache and support for high-speed memory and PCIe lanes. This processor is built to manage complex, multi-threaded tasks commonly found in content creation, engineering, and data-driven workstations. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 100-000000086 |
| Technical Information | |
|---|---|
| Processor Family | AMD Ryzen Threadripper |
| # Of Cores | 32 Core |
| Total Threads | 64 |
| Max Turbo Frequency | 4.2 GHz |
| Base Clock Speed | 3.5 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | sWRX8 |
| Cache | 128 MB L3 (plus 16 MB L2; 144 MB total) |
| Thermal Design Power | 280 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 2 TB |
| Memory Types | DDR4-3200 ECC (RDIMM/UDIMM), DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The AMD Ryzen Threadripper PRO 3975WX is a high-performance processor designed for workstations that require substantial compute power. It's commonly found in environments where video editing, 3D rendering, scientific simulations, or software development demand multi-threaded capabilities. Built for professionals needing reliability and performance, this processor handles complex workloads efficiently while maintaining responsiveness across tasks. Often used in engineering, content creation, and data analysis setups, it optimizes productivity by leveraging its many cores and large cache. Key Features
This processor is typically deployed in high-end workstations used by professionals in video production studios, engineering firms, and research labs. Its multi-core design helps reduce rendering and computation times, allowing teams to work more efficiently on demanding projects. In practical use, it provides the power and stability needed to handle large datasets and intensive applications without bottlenecks. |