Openai Gpt Oss 20B speed on NVIDIA A6000 and quantization-level VRAM fit.
NVIDIA A6000 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.
NVIDIA A6000 can run Openai Gpt Oss 20B with Q4 quantization. At approximately 73 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 | 72.81 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 48GB | 50.97 tok/s | ✅ Fits comfortably |
| FP16 | 40GB | 48GB | 27.67 tok/s | ✅ Fits comfortably |
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NVIDIA A6000 can run Openai Gpt Oss 20B at Q4 with an estimated 73 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while NVIDIA A6000 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.