Minimaxai Minimax M2 5 speed on NVIDIA H200 SXM 141GB and quantization-level VRAM fit.
NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of Minimaxai Minimax M2 5. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H200 SXM 141GB can run Minimaxai Minimax M2 5 with Q4 quantization. At approximately 83 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 26GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 115GB | 141GB | 82.71 tok/s | ✅ Fits comfortably |
| Q8 | 229GB | 141GB | 57.90 tok/s | ❌ Not recommended |
| FP16 | 458GB | 141GB | 31.43 tok/s | ❌ Not recommended |
Need a GPU with 115GB+ VRAM? These guides match your requirements.
Check current pricing links for NVIDIA H200 SXM 141GB and similar cards.
Open NVIDIA H200 SXM 141GB buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Rent cloud GPUs by the hour — no upfront hardware cost.
NVIDIA H200 SXM 141GB can run Minimaxai Minimax M2 5 at Q4 with an estimated 83 tok/s.
Q4 inference is estimated to need about 115GB 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.