Deepseek AI Deepseek V3 speed on NVIDIA L40 and quantization-level VRAM fit.
NVIDIA L40 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek V3. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L40 can run Deepseek AI Deepseek V3 with Q4 quantization. At approximately 248 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 | 248.45 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 48GB | 173.92 tok/s | ✅ Fits comfortably |
| FP16 | 6GB | 48GB | 94.41 tok/s | ✅ Fits comfortably |
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NVIDIA L40 can run Deepseek AI Deepseek V3 at Q4 with an estimated 248 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.