NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run deepseek-ai/DeepSeek-R1-Distill-Qwen-32B with Q4 quantization. At approximately 65 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 32GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 48GB | 64.65 tok/s | ✅ Fits comfortably |
| Q8 | 33GB | 48GB | 42.13 tok/s | ✅ Fits comfortably |
| FP16 | 66GB | 48GB | 24.62 tok/s | ❌ Not recommended |