Openai Gpt Oss 20B speed on AMD Radeon Pro W7900 and quantization-level VRAM fit.
AMD Radeon Pro W7900 meets the minimum VRAM requirement for Q4 inference of Openai Gpt Oss 20B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Radeon Pro W7900 can run Openai Gpt Oss 20B with Q4 quantization. At approximately 80 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 38GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 48GB | 80.00 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 48GB | 56.00 tok/s | ✅ Fits comfortably |
| FP16 | 40GB | 48GB | 30.40 tok/s | ✅ Fits comfortably |
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AMD Radeon Pro W7900 can run Openai Gpt Oss 20B at Q4 with an estimated 80 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while AMD Radeon Pro W7900 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.