Mistralai Mixtral 8x22b Instruct V0 1 speed on RTX 3090 and quantization-level VRAM fit.
RTX 3090 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.
RTX 3090 lacks sufficient VRAM for comfortable Mistralai Mixtral 8x22b Instruct V0 1 operation with Q4 quantization.
Your 24GB GPU is 47GB 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 | 24GB | 40.09 tok/s | ❌ Not recommended |
| Q8 | 141GB | 24GB | 28.06 tok/s | ❌ Not recommended |
| FP16 | 282GB | 24GB | 15.23 tok/s | ❌ Not recommended |
Check current pricing links for RTX 3090 and similar cards.
Open RTX 3090 buy links →Use workload-focused recommendations before committing to a purchase.
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Compare prebuilt systems →Your GPU doesn't meet the VRAM requirements. Run Mistralai Mixtral 8x22b Instruct V0 1 on cloud GPU instantly.
RTX 3090 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 RTX 3090 has 24GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.