Deepseek AI Deepseek R1 speed on NVIDIA H100 SXM5 80GB and quantization-level VRAM fit.
NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run Deepseek AI Deepseek R1 with Q4 quantization. At approximately 619 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 76GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 80GB | 618.83 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 80GB | 433.18 tok/s | ✅ Fits comfortably |
| FP16 | 14GB | 80GB | 235.16 tok/s | ✅ Fits comfortably |
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NVIDIA H100 SXM5 80GB can run Deepseek AI Deepseek R1 at Q4 with an estimated 619 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while NVIDIA H100 SXM5 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.