Deepseek AI Deepseek Ocr speed on RTX 4060 and quantization-level VRAM fit.
RTX 4060 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Ocr. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 can run Deepseek AI Deepseek Ocr with Q4 quantization. At approximately 56 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 6GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 8GB | 56.08 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 8GB | 39.26 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 8GB | 21.31 tok/s | ⚠️ Tight fit |
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RTX 4060 can run Deepseek AI Deepseek Ocr at Q4 with an estimated 56 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 4060 has 8GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.