NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-Coder-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-Coder-32B-Instruct with Q4 quantization. At approximately 172 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 | 172.32 tok/s | ✅ Fits comfortably |
| Q8 | 34GB | 80GB | 128.24 tok/s | ✅ Fits comfortably |
| FP16 | 67GB | 80GB | 65.96 tok/s | ✅ Fits comfortably |