NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of nvidia/Llama-3.1-Nemotron-70B-Instruct-HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run nvidia/Llama-3.1-Nemotron-70B-Instruct-HF with Q4 quantization. At approximately 35 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 48GB | 34.53 tok/s | ✅ Fits comfortably |
| Q8 | 69GB | 48GB | 22.97 tok/s | ❌ Not recommended |
| FP16 | 138GB | 48GB | 12.91 tok/s | ❌ Not recommended |