Deepseek AI Deepseek R1 speed on RTX 5070 Ti and quantization-level VRAM fit.
RTX 5070 Ti meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5070 Ti can run Deepseek AI Deepseek R1 with Q4 quantization. At approximately 181 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 12GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 16GB | 180.76 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 16GB | 126.53 tok/s | ✅ Fits comfortably |
| FP16 | 14GB | 16GB | 68.69 tok/s | ✅ Fits comfortably |
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RTX 5070 Ti can run Deepseek AI Deepseek R1 at Q4 with an estimated 181 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while RTX 5070 Ti has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.