Minimaxai Minimax M1 40K speed on RTX 3070 and quantization-level VRAM fit.
RTX 3070 does not meet 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.
RTX 3070 lacks sufficient VRAM for comfortable Minimaxai Minimax M1 40K operation with Q4 quantization.
Your 8GB GPU is 221GB short of the 229GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 229GB | 8GB | 9.14 tok/s | ❌ Not recommended |
| Q8 | 457GB | 8GB | 6.40 tok/s | ❌ Not recommended |
| FP16 | 913GB | 8GB | 3.47 tok/s | ❌ Not recommended |
No alternative GPUs with verified compatibility yet. Expand the compatibility import to surface more cards.
Check current pricing links for RTX 3070 and similar cards.
Open RTX 3070 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 →Your GPU doesn't meet the VRAM requirements. Run Minimaxai Minimax M1 40K on cloud GPU instantly.
RTX 3070 is not a comfortable Q4 fit for Minimaxai Minimax M1 40K (about 229GB needed).
Q4 inference is estimated to need about 229GB VRAM on this page, while RTX 3070 has 8GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.