Optimizing AI for Local Enterprise with Dan Mikita and Jonathan Tasman
Failed to add items
Add to cart failed.
Add to wishlist failed.
Remove from wishlist failed.
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
Written by:
About this listen
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