As AI factories scale from individual deployments to large campuses, infrastructure efficiency is becoming a critical competitive differentiator. This session explores how organizations can quantify AI factory productivity using metrics such as tokens per second, tokens per watt, and tokens per euro, helping to translate infrastructure performance into measurable business value. Attendees will learn how integrating power, cooling, compute, networking, and controls into a single architecture can recover productive output lost between systems, supported by digital twin simulation technologies. The discussion will also examine the shift from field-integrated data centers to converged, standardized building blocks that enable more predictable scaling. Finally, it will highlight how aligning thermal and power architectures with advanced accelerated computing platforms can maximize intelligence output from every megawatt, improving both operational efficiency and AI performance at scale.