NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-32B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run Qwen/Qwen2.5-32B-Instruct with Q4 quantization. At approximately 177 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 | 177.02 tok/s | ✅ Fits comfortably |
| Q8 | 33GB | 80GB | 114.94 tok/s | ✅ Fits comfortably |
| FP16 | 66GB | 80GB | 67.33 tok/s | ✅ Fits comfortably |