Episode
Ep. 177 David Chernis, Director, Flexible Compute Platforms at CPower Energy | Data Center Go-to-Market Podcast
- Published
- Feb 24, 2026
- Duration seconds
- 2130
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Summary
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 the Data Center Go-to-Market Podcast 0:46 Introducing David Chernis, Director, Flexible Compute Platforms at CPower Energy 1:23 Why Energy Load Flexibility So Urgent Now For Data Center Operators? 3:34 What Data Center Operators Most Misunderstand About How Utilities and Grid Operators See Them 8:32 How Modern AI Data Center Energy Demand Response Actually Works in a Mission-Critical Environment 11:23 Utility Grid Signal Orchestration: How Do Data Center Operators Decide What Load Is Flexible 13:25 Mid-Career Advice for Data Center Energy Professionals 16:32 Subscribe to the Data Center Sales and Ma…