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Optimizing AI for Local Enterprise with Dan Mikita and Jonathan Tasman
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Nội dung được cung cấp bởi Jonathan Tasman. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Jonathan Tasman hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
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
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