Deepseek AI Deepseek Ocr 2 speed on RTX 5070 and quantization-level VRAM fit.
RTX 5070 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Ocr 2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5070 can run Deepseek AI Deepseek Ocr 2 with Q4 quantization. At approximately 134 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 10GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 12GB | 134.47 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 12GB | 94.13 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 12GB | 51.10 tok/s | ✅ Fits comfortably |
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RTX 5070 can run Deepseek AI Deepseek Ocr 2 at Q4 with an estimated 134 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 5070 has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.