The AI boom is forcing a fundamental rethink of how data centers acquire, distribute, cool, and manage power. What was once a utility procurement exercise is rapidly becoming a full-stack infrastructure challenge spanning generation, transmission, onsite power, power distribution, thermal management, and workload orchestration.

This session explores how operators are building the AI power stack from the grid connection all the way to the GPU. Panelists will examine the growing role of nuclear and gas generation, behind-the-meter power, battery storage, advanced electrical architectures, liquid cooling, and intelligent energy management systems.

The discussion will focus on what it takes to deliver reliable AI infrastructure at gigawatt scale while maintaining speed-to-market and operational resilience. Power availability, cooling efficiency, and integrated infrastructure design are increasingly becoming competitive advantages rather than engineering considerations.

Learning Objectives:

 - understand the evolving ai power stack

- evaluate emerging power generation technologies

- assess advanced energy infrastructure components

- examine integrated infrastructure design approaches

- identify key challenges in scaling to gigawatt-level infrastructure