Minimaxai Minimax M2 speed on RTX 4070 Ti Super and quantization-level VRAM fit.
RTX 4070 Ti Super does not meet the minimum VRAM requirement for Q4 inference of Minimaxai Minimax M2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4070 Ti Super lacks sufficient VRAM for comfortable Minimaxai Minimax M2 operation with Q4 quantization.
Your 16GB GPU is 99GB short of the 115GB 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 | 115GB | 16GB | 13.58 tok/s | ❌ Not recommended |
| Q8 | 229GB | 16GB | 9.51 tok/s | ❌ Not recommended |
| FP16 | 458GB | 16GB | 5.16 tok/s | ❌ Not recommended |
Check current pricing links for RTX 4070 Ti Super and similar cards.
Open RTX 4070 Ti Super 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 M2 on cloud GPU instantly.
RTX 4070 Ti Super is not a comfortable Q4 fit for Minimaxai Minimax M2 (about 115GB needed).
Q4 inference is estimated to need about 115GB VRAM on this page, while RTX 4070 Ti Super has 16GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.