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 158 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 63GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 17GB | 80GB | 157.83 tok/s | ✅ Fits comfortably |
| Q8 | 34GB | 80GB | 132.51 tok/s | ✅ Fits comfortably |
| FP16 | 67GB | 80GB | 62.81 tok/s | ✅ Fits comfortably |