Scaling AI-driven chip design with open agent factories

IBM Research demonstrated that using open frontier AI models and efficient distributed inference in chip design can drastically reduce costs and speed up hardware optimization, achieving a 52x speedup for $26 in inference cost. This approach enables more affordable and extensive automated design exploration, potentially transforming AI-driven chip development.