Qwen Qwen3 Next 80B A3b Thinking FP8 speed on NVIDIA A6000 and quantization-level VRAM fit.
NVIDIA A6000 meets the minimum VRAM requirement for Q4 inference of Qwen Qwen3 Next 80B A3b Thinking FP8. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A6000 can run Qwen Qwen3 Next 80B A3b Thinking FP8 with Q4 quantization. At approximately 159 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 8GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 40GB | 48GB | 158.87 tok/s | ✅ Fits comfortably |
| Q8 | 80GB | 48GB | 111.21 tok/s | ❌ Not recommended |
| FP16 | 160GB | 48GB | 60.37 tok/s | ❌ Not recommended |
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NVIDIA A6000 can run Qwen Qwen3 Next 80B A3b Thinking FP8 at Q4 with an estimated 159 tok/s.
Q4 inference is estimated to need about 40GB 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.