Deepseek AI Deepseek Coder V2 Lite Instruct speed on Intel Arc Pro A60 and quantization-level VRAM fit.
Intel Arc Pro A60 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder V2 Lite Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Intel Arc Pro A60 can run Deepseek AI Deepseek Coder V2 Lite Instruct with Q4 quantization. At approximately 42 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 4GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 8GB | 12GB | 42.12 tok/s | ✅ Fits comfortably |
| Q8 | 16GB | 12GB | 29.49 tok/s | ❌ Not recommended |
| FP16 | 32GB | 12GB | 16.01 tok/s | ❌ Not recommended |
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Intel Arc Pro A60 can run Deepseek AI Deepseek Coder V2 Lite Instruct at Q4 with an estimated 42 tok/s.
Q4 inference is estimated to need about 8GB VRAM on this page, while Intel Arc Pro A60 has 12GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.