72. Micro Data Centers and the Evolution of AI Infrastructure

In this episode of the EPRI Current, host Samantha Gilman speaks with EPRI’s Director of Agentic AI and Micro Data Centers, Ben Sooter, about the growing role of distributed inference, also known as micro data centers, in the evolving AI landscape. While large, centralized data centers dominate current discussions, Sooter explains why the next wave of compute demand will shift closer to end users to support faster, latency-sensitive applications. The conversation highlights how this distributed approach could reshape grid planning, including opportunities to leverage available capacity at distribution substations and the need to better understand emerging load profiles. Sooter also discusses EPRI’s collaborative pilot efforts with NVIDIA, Prologis, and InfraPartners to explore siting, deployment, and scalability. As AI adoption accelerates, this episode examines how utilities can prepare for and help enable the next phase of digital infrastructure. For more information and episodes visit EPRI.com. If you enjoy this podcast, please subscribe and share! And please consider leaving a review and rating on Apple Podcasts/iTunes. Follow EPRI: LinkedIn https://www.linkedin.com/company/epri/ Twitter https://twitter.com/EPRINews EPRI Current examines key issues and new R&D impacting the energy transition. Each episode features insights from EPRI, the world's preeminent independent, non-profit energy research and development organization, and from other energy industry leaders. We also discuss how innovative technologies are shaping the global energy future. Learn more at www.epri.com