NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of meta-llama/Meta-Llama-3-8B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run meta-llama/Meta-Llama-3-8B-Instruct with Q4 quantization. At approximately 294 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 76GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 80GB | 294.22 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 80GB | 185.39 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 80GB | 108.61 tok/s | ✅ Fits comfortably |