Oak Ridge National Laboratory (ORNL) is addressing the escalating energy requirements from AI datacenters by launching the Next Generation Data Centers Institute (NGDCI). This initiative aims to integrate energy, high-performance computing, and cybersecurity expertise to ensure the efficiency and security of AI infrastructure, both nationally and globally.

“Artificial intelligence is revolutionizing industries but its energy demands are unprecedented,” says ORNL Director Stephen Streiffer. The infrastructure needed to support growing AI datacenters is projected to double or triple, threatening current grid capacities. ORNL’s comprehensive research will focus on thermal management, power system architecture, grid integration, security, integrated systems modeling, and operational load management.

Steven Streiffer emphasized, “ORNL is uniquely positioned to address these challenges, ensuring that America’s AI infrastructures are secure, efficient, and reliable.”

The NGDCI will drive advancements in cooling technologies, address energy flow with innovations like direct current usage, and incorporate cyber-informed engineering along with quantum-safe communications. The initiative will also evaluate the broader impact of AI infrastructures on energy resources, job markets, and national competitiveness.

Ultimately, the goal is to transform datacenters into adaptive, energy-efficient assets that enhance grid stability while accelerating AI advancements. This vision is supported by industry leaders like Nvidia and AMD, recognizing the unique collaborative potential of national labs with the computing industry.

By preparing the grid to manage AI’s energy demands, ORNL aims to transform these challenges into opportunities, influencing the future of technological and economic landscapes in the US and beyond.