Deepseek AI Deepseek R1 Distill Qwen 32B speed on NVIDIA H100 PCIe 80GB and quantization-level VRAM fit.
NVIDIA H100 PCIe 80GB 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 H100 PCIe 80GB can run Deepseek AI Deepseek R1 Distill Qwen 32B with Q4 quantization. At approximately 137 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 64GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 80GB | 137.49 tok/s | ✅ Fits comfortably |
| Q8 | 32GB | 80GB | 96.24 tok/s | ✅ Fits comfortably |
| FP16 | 64GB | 80GB | 52.25 tok/s | ✅ Fits comfortably |
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NVIDIA H100 PCIe 80GB can run Deepseek AI Deepseek R1 Distill Qwen 32B at Q4 with an estimated 137 tok/s.
Q4 inference is estimated to need about 16GB VRAM on this page, while NVIDIA H100 PCIe 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.