NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 with Q4 quantization. At approximately 105 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 | 104.84 tok/s | ✅ Fits comfortably |
| Q8 | 68GB | 80GB | 70.39 tok/s | ✅ Fits comfortably |
| FP16 | 137GB | 80GB | 36.75 tok/s | ❌ Not recommended |