Deepseek AI Deepseek Coder V2 Lite Instruct speed on Intel Arc Pro A40 and quantization-level VRAM fit.
Intel Arc Pro A40 does not meet 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 A40 lacks sufficient VRAM for comfortable Deepseek AI Deepseek Coder V2 Lite Instruct operation with Q4 quantization.
Your 6GB GPU is 2GB short of the 8GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 8GB | 6GB | 30.39 tok/s | ❌ Not recommended |
| Q8 | 16GB | 6GB | 21.27 tok/s | ❌ Not recommended |
| FP16 | 32GB | 6GB | 11.55 tok/s | ❌ Not recommended |
Check current pricing links for Intel Arc Pro A40 and similar cards.
Open Intel Arc Pro A40 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Your GPU doesn't meet the VRAM requirements. Run Deepseek AI Deepseek Coder V2 Lite Instruct on cloud GPU instantly.
Intel Arc Pro A40 is not a comfortable Q4 fit for Deepseek AI Deepseek Coder V2 Lite Instruct (about 8GB needed).
Q4 inference is estimated to need about 8GB VRAM on this page, while Intel Arc Pro A40 has 6GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.