Deepseek AI Deepseek R1 Distill Qwen 32B speed on NVIDIA A100 40GB PCIe and quantization-level VRAM fit.
NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1 Distill Qwen 32B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 40GB PCIe can run Deepseek AI Deepseek R1 Distill Qwen 32B with Q4 quantization. At approximately 99 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 24GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 40GB | 99.42 tok/s | ✅ Fits comfortably |
| Q8 | 32GB | 40GB | 69.59 tok/s | ✅ Fits comfortably |
| FP16 | 64GB | 40GB | 37.78 tok/s | ❌ Not recommended |
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NVIDIA A100 40GB PCIe can run Deepseek AI Deepseek R1 Distill Qwen 32B at Q4 with an estimated 99 tok/s.
Q4 inference is estimated to need about 16GB VRAM on this page, while NVIDIA A100 40GB PCIe has 40GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.