NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.3-70B-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-3.3-70B-Instruct with Q4 quantization. At approximately 186 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 46GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 80GB | 185.52 tok/s | ✅ Fits comfortably |
| Q8 | 68GB | 80GB | 127.94 tok/s | ✅ Fits comfortably |
| FP16 | 137GB | 80GB | 59.64 tok/s | ❌ Not recommended |