LIVE WEBINAR
Thursday, September 10 | 2pm ET
Duration: 1 hour
Can't make the live date? Register and we'll send you a link to the recording. ​

As utilities look to turn AI ambition into real operational impact, the question isn't just what AI can do. It's where it should run. Cloud plays an important role in AI adoption, but as workloads grow more complex, many utilities are exploring a hybrid approach: pairing cloud with on-premises and NVIDIA graphics processing units (GPUs) that bring AI closer to operations, where speed, reliability, and data sovereignty matter most. 

In this webinar, industry leaders from NVIDIA, Dell, and EPRI will explore AI use cases showing measurable impact for utilities. You’ll learn how ownership models can shift the economics of AI compute at scale, how to scale compute from desktop to data center without an infrastructure rebuild, and how to identify and launch your first high-value AI deployment. You’ll also hear about: 

• The key challenges utilities face when operationalizing AI workflows
• How utilities think about the economics of AI compute change as agents scale, and what that means for owning versus renting
• What it means to run AI closer to operations — and when it makes sense

SPEAKERS

Ahsan Yousufzai
Managing Director of Energy, NVIDIA

Russell Boyer
Global Industries Utilities Chief Technology Officer, Dell Technologies

Matt Corbett
Director, Information Technology Enterprise Infrastructure & Networking,, EPRI

Jeremy Renshaw
Director – Open Power AI & Quantum, EPRI