NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-Coder-32B-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-Coder-32B-Instruct with Q4 quantization. At approximately 66 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 31GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 17GB | 48GB | 66.09 tok/s | ✅ Fits comfortably |
| Q8 | 34GB | 48GB | 44.14 tok/s | ✅ Fits comfortably |
| FP16 | 67GB | 48GB | 25.13 tok/s | ❌ Not recommended |