Mistralai Mistral Large Instruct 2411 speed on NVIDIA L40 and quantization-level VRAM fit.
NVIDIA L40 meets the minimum VRAM requirement for Q4 inference of Mistralai Mistral Large Instruct 2411. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L40 can run Mistralai Mistral Large Instruct 2411 with Q4 quantization. At approximately 166 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 46GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 48GB | 165.64 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 48GB | 115.95 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 48GB | 62.94 tok/s | ✅ Fits comfortably |
Check current pricing links for NVIDIA L40 and similar cards.
Open NVIDIA L40 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 L40 can run Mistralai Mistral Large Instruct 2411 at Q4 with an estimated 166 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while NVIDIA L40 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.