Openai Gpt Oss 20B speed on AMD Radeon Pro W7800 and quantization-level VRAM fit.
AMD Radeon Pro W7800 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 W7800 can run Openai Gpt Oss 20B with Q4 quantization. At approximately 49 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 22GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 32GB | 49.20 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 32GB | 34.44 tok/s | ✅ Fits comfortably |
| FP16 | 40GB | 32GB | 18.69 tok/s | ❌ Not recommended |
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AMD Radeon Pro W7800 can run Openai Gpt Oss 20B at Q4 with an estimated 49 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while AMD Radeon Pro W7800 has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.