Intel Arc B580 12GB: Specs & Local-AI Compatibility
Budget 12GB Battlemage card — entry local AI if software support fits.
Specs
- Memory
- 12 GB
- Memory type
- GDDR6
- Bandwidth
- 456 GB/s
- Approx FP16
- to verify
- Architecture
- Battlemage
- Process
- TSMC 5nm
- Power
- 190 W
- Launch
- 2024
Models this chip can run
Open models graded for a single Intel Arc B580 12GB, best fit first.
- Phi-3 Medium (14B)Phi · ~14B · 128K ctx · MIT
Fits at Q4_K_M (~9GB) with ~1.6GB headroom — about 1 concurrent instance.
Q4_K_M · ~9GBRuns well - Phi-4 (14B)Phi · ~14B · 16K ctx · MIT
Fits at Q4_K_M (~9GB) with ~1.6GB headroom — about 1 concurrent instance.
Q4_K_M · ~9GBRuns well - CodeLlama 13BCodeLlama · ~13B · 16K ctx · Llama Community License
Fits at Q4_K_M (~8GB) with ~2.6GB headroom — about 1 concurrent instance.
Q4_K_M · ~8GBRuns well - Gemma 3 12BGemma 3 · ~12B · 128K ctx · Gemma Terms of Use
Fits at Q4_K_M (~8GB) with ~2.6GB headroom — about 1 concurrent instance.
Q4_K_M · ~8GBRuns well - Mistral Nemo 12BMistral · ~12B · 128K ctx · Apache-2.0
Fits at Q4_K_M (~8GB) with ~2.6GB headroom — about 1 concurrent instance.
Q4_K_M · ~8GBRuns well - Gemma 2 9BGemma · ~9B · 8K ctx · Gemma Terms of Use
Fits at Q8_0 (~10GB) with ~0.6GB headroom — about 1 concurrent instance.
Q8_0 · ~10GBRuns well - Llama 3.1 8BLlama · ~8B · 128K ctx · Llama Community License
Fits at Q8_0 (~9GB) with ~1.6GB headroom — about 1 concurrent instance.
Q8_0 · ~9GBRuns well - Qwen3 8BQwen · ~8B · 128K ctx · Apache-2.0
Fits at Q8_0 (~9GB) with ~1.6GB headroom — about 1 concurrent instance.
Q8_0 · ~9GBRuns well
Build a private AI Business OS on Intel Arc B580 12GB
Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.
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