Qwen Qwen3 Next 80B A3b Thinking speed on NVIDIA RTX 6000 Ada and quantization-level VRAM fit.
NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of Qwen Qwen3 Next 80B A3b Thinking. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run Qwen Qwen3 Next 80B A3b Thinking with Q4 quantization. At approximately 36 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 8GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 40GB | 48GB | 35.70 tok/s | ✅ Fits comfortably |
| Q8 | 80GB | 48GB | 24.99 tok/s | ❌ Not recommended |
| FP16 | 160GB | 48GB | 13.57 tok/s | ❌ Not recommended |
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NVIDIA RTX 6000 Ada can run Qwen Qwen3 Next 80B A3b Thinking at Q4 with an estimated 36 tok/s.
Q4 inference is estimated to need about 40GB VRAM on this page, while NVIDIA RTX 6000 Ada has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.