
Dan Mikita, founder of Devs Operative, joins us to discuss how enterprises can make AI practical and cost-efficient. From Kubernetes optimization to Intel’s surprising take on Nvidia’s dominance, Dan explains how local enterprises can build scalable AI platforms in-house—without breaking their data centers or budgets.
Chapters:
(00:00) Welcome & Dan’s Journey into Tech
(04:20) From Enterprise Software to Founding Devs Operative
(09:15) Understanding Kubernetes and Large-Scale Efficiency
(15:40) Why Most AI Projects Fail to Reach Production
(22:25) Intel vs Nvidia: The Real ROI in AI Chips
(29:10) Running AI Models In-House for Security and Speed
(35:45) Optimizing GPU Usage in Enterprise Data Centers
(41:20) AI for the Midwest: Scaling Without Overbuilding
(47:30) Where to Find Dan & Devs Operative Online