Mistralai Mixtral 8x22b Instruct V0 1 speed on NVIDIA H100 SXM5 80GB and quantization-level VRAM fit.
NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of Mistralai Mixtral 8x22b Instruct V0 1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run Mistralai Mixtral 8x22b Instruct V0 1 with Q4 quantization. At approximately 129 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 9GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 71GB | 80GB | 128.72 tok/s | ✅ Fits comfortably |
| Q8 | 141GB | 80GB | 90.10 tok/s | ❌ Not recommended |
| FP16 | 282GB | 80GB | 48.91 tok/s | ❌ Not recommended |
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NVIDIA H100 SXM5 80GB can run Mistralai Mixtral 8x22b Instruct V0 1 at Q4 with an estimated 129 tok/s.
Q4 inference is estimated to need about 71GB 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.