Mistralai Mixtral 8x22b Instruct V0 1 speed on NVIDIA H200 SXM 141GB and quantization-level VRAM fit.
NVIDIA H200 SXM 141GB 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 H200 SXM 141GB can run Mistralai Mixtral 8x22b Instruct V0 1 with Q4 quantization. At approximately 179 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 70GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 71GB | 141GB | 179.21 tok/s | ✅ Fits comfortably |
| Q8 | 141GB | 141GB | 125.45 tok/s | ⚠️ Tight fit |
| FP16 | 282GB | 141GB | 68.10 tok/s | ❌ Not recommended |
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NVIDIA H200 SXM 141GB can run Mistralai Mixtral 8x22b Instruct V0 1 at Q4 with an estimated 179 tok/s.
Q4 inference is estimated to need about 71GB VRAM on this page, while NVIDIA H200 SXM 141GB has 141GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.