NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-72B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run Qwen/Qwen2.5-72B-Instruct with Q4 quantization. At approximately 36 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 12GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 36GB | 48GB | 35.87 tok/s | ✅ Fits comfortably |
| Q8 | 71GB | 48GB | 26.73 tok/s | ❌ Not recommended |
| FP16 | 142GB | 48GB | 14.69 tok/s | ❌ Not recommended |