Qwen Qwen3 Next 80B A3b Thinking FP8 speed on NVIDIA H100 SXM5 80GB and quantization-level VRAM fit.
NVIDIA H100 SXM5 80GB 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 H100 SXM5 80GB can run Qwen Qwen3 Next 80B A3b Thinking FP8 with Q4 quantization. At approximately 99 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 40GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 40GB | 80GB | 99.01 tok/s | ✅ Fits comfortably |
| Q8 | 80GB | 80GB | 69.31 tok/s | ⚠️ Tight fit |
| FP16 | 160GB | 80GB | 37.63 tok/s | ❌ Not recommended |
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NVIDIA H100 SXM5 80GB can run Qwen Qwen3 Next 80B A3b Thinking FP8 at Q4 with an estimated 99 tok/s.
Q4 inference is estimated to need about 40GB VRAM on this page, while NVIDIA H100 SXM5 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.