Ep. 177 David Chernis, Director, Flexible Compute Platforms at CPower Energy | Data Center Go-to-Market Podcast

About this episode

David Chernis discusses how AI-driven load growth is reshaping data center power strategy and the implications for operators.

https://www.dcsmi.com/newsletter Subscribe to the Data Center Sales and Marketing Newsletter (DCSMI) In episode 177 of the Data Center Go-to-Market Podcast, you’ll hear from CPower Energy’s David Chernis on how AI-driven load growth is reshaping data center power strategy ⚡ 🤖. You’ll learn why traditional assumptions about always available power no longer hold, how energy flexibility and battery storage (BESS) help manage spiky AI workloads, and what separates the new AI factory data centers from legacy colocation models. David explains how modern demand response works in mission-critical environments, how grid participation now influences site selection and interconnection timelines, and why powered land, hybrid crypto/AI sites, and regulatory shifts (like ERCOT’s Senate Bill 6) are changing what’s considered table stakes. You’ll also pick up career and go-to-market tips on continuous learning, using generative and agentic AI tools, and positioning yourself at the intersection of data centers, energy markets, and AI innovation 💡🏭 Ep. 177 David Chernis, Director, Flexible Compute Platforms of CPower Energy | Data Center Go-to-Market Podcast 0:00 Coming up In this episode of…

People in this episode

Guest: David Chernis

Topics covered

• AI-driven load growth
• data center power strategy
• energy flexibility
• battery storage
• demand response
• site selection
• AI innovation

Keywords

• data centers
• energy markets
• AI workloads
• grid participation
• career tips
• generative AI
• battery storage
• demand response

Mentioned in this episode

Organizations: CPower Energy, Data Center Sales and Marketing Institute

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