NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.2-3B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run meta-llama/Llama-3.2-3B-Instruct with Q4 quantization. At approximately 521 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 78GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 80GB | 520.83 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 80GB | 331.60 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 80GB | 189.95 tok/s | ✅ Fits comfortably |