Written by Jakub Rusinowski · Last updated July 12, 2026
Surprisingly capable for AI at $249. 12 GB VRAM with OpenVINO/IPEX-LLM acceleration. Works with Ollama on Windows and Linux. Best Intel GPU for local AI in 2024–2025.
| VRAM | 12 GB |
| Memory Bandwidth | 456 GB/s |
| TDP | 190 W |
| Architecture | Xe2 Battlemage BMG-G21 |
| Release Year | 2024 |
| MSRP at Launch | $249 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 28–57 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 12 GB usable |
or compare on Vast.ai from $0.35/hr (typical low · varies)
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All models below run comfortably in 12 GB VRAM with Q4_K_M quantization.
| Llama 3.1 Family | Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 3.2 Family | Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2 |
| Qwen 2.5 Family | Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
| Gemma 2 Family | Gemma 2 9B IT · 6 GB VRAM · Q4_K_M · ollama run gemma2 |
| Phi-4 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| SmolLM2 | SmolLM2 1.7B Instruct · 2 GB VRAM · Q4_K_M · ollama run smollm2:1.7b |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the Intel Arc B580 has 12 GB VRAM and runs Surprisingly capable for AI at $249. 12 GB VRAM with OpenVINO/IPEX-LLM acceleration. Works with Ollama on Windows and Li
The Intel Arc B580 is estimated to run Llama 3.1 8B at 28–57 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 12 GB usable. These are modelled estimates, not measurements — see /en/methodology.
With 12 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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