Mistralai Mixtral 8x22b Instruct V0 1 speed on NVIDIA L40S and quantization-level VRAM fit.
NVIDIA L40S does not meet 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 L40S lacks sufficient VRAM for comfortable Mistralai Mixtral 8x22b Instruct V0 1 operation with Q4 quantization.
Your 48GB GPU is 23GB short of the 71GB 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 | 71GB | 48GB | 43.07 tok/s | ❌ Not recommended |
| Q8 | 141GB | 48GB | 30.15 tok/s | ❌ Not recommended |
| FP16 | 282GB | 48GB | 16.36 tok/s | ❌ Not recommended |
Check current pricing links for NVIDIA L40S and similar cards.
Open NVIDIA L40S 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 Mistralai Mixtral 8x22b Instruct V0 1 on cloud GPU instantly.
NVIDIA L40S is not a comfortable Q4 fit for Mistralai Mixtral 8x22b Instruct V0 1 (about 71GB needed).
Q4 inference is estimated to need about 71GB VRAM on this page, while NVIDIA L40S has 48GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.