Deepseek AI Deepseek Coder 33B Instruct speed on NVIDIA L40 and quantization-level VRAM fit.
NVIDIA L40 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder 33B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L40 can run Deepseek AI Deepseek Coder 33B Instruct with Q4 quantization. At approximately 72 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 31GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 17GB | 48GB | 72.47 tok/s | ✅ Fits comfortably |
| Q8 | 33GB | 48GB | 50.73 tok/s | ✅ Fits comfortably |
| FP16 | 66GB | 48GB | 27.54 tok/s | ❌ Not recommended |
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NVIDIA L40 can run Deepseek AI Deepseek Coder 33B Instruct at Q4 with an estimated 72 tok/s.
Q4 inference is estimated to need about 17GB 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.