Minimaxai Minimax M1 40K speed on NVIDIA H100 PCIe 80GB and quantization-level VRAM fit.
NVIDIA H100 PCIe 80GB meets the minimum VRAM requirement for Q4 inference of Minimaxai Minimax M1 40K. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 PCIe 80GB can run Minimaxai Minimax M1 40K with Q4 quantization. At approximately 110 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 60GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 20GB | 80GB | 109.99 tok/s | ✅ Fits comfortably |
| Q8 | 40GB | 80GB | 76.99 tok/s | ✅ Fits comfortably |
| FP16 | 80GB | 80GB | 41.80 tok/s | ⚠️ Tight fit |
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NVIDIA H100 PCIe 80GB can run Minimaxai Minimax M1 40K at Q4 with an estimated 110 tok/s.
Q4 inference is estimated to need about 20GB VRAM on this page, while NVIDIA H100 PCIe 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.