NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.1-70B-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-3.1-70B-Instruct with Q4 quantization. At approximately 89 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 46GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 80GB | 89.29 tok/s | ✅ Fits comfortably |
| Q8 | 69GB | 80GB | 67.01 tok/s | ✅ Fits comfortably |
| FP16 | 138GB | 80GB | 37.62 tok/s | ❌ Not recommended |