Deepseek AI Deepseek R1 Distill Qwen 1.5B speed on NVIDIA RTX 6000 Ada and quantization-level VRAM fit.
NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1 Distill Qwen 1.5B. 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 1.5B with Q4 quantization. At approximately 268 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 47GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 48GB | 267.74 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 48GB | 187.42 tok/s | ✅ Fits comfortably |
| FP16 | 3GB | 48GB | 101.74 tok/s | ✅ Fits comfortably |
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NVIDIA RTX 6000 Ada can run Deepseek AI Deepseek R1 Distill Qwen 1.5B at Q4 with an estimated 268 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while NVIDIA RTX 6000 Ada has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.