AI models are powerful but impractical for edge computing due to their size and compute requirements.Open-weight AI models combined with efficient distillation techniques are changing the game for AI at the edge.Model distillation compresses large models into smaller, more efficient versions, making AI practical for edge computing.Open-source open-weight models enable personalized, efficient, and privacy-centric AI solutions for edge devices.