Fresh data has us asking, does AI demand Kubernetes?
From The New Stack Podcast by The New Stack
May 1, 2026 · 23 min · Episode 1617
About this episode
The episode discusses the role of Kubernetes in AI development and the importance of engineering fundamentals for AI success.
Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — including tools like Kubeflow — enables organizations to build, scale, and retain control of AI systems through open, community-driven infrastructure. Bob Killen of CNCF and Liam Bollmann-Dodd of SlashData shared insights from recent reports showing that AI success still hinges on strong engineering fundamentals—especially internal developer platforms and overall developer experience.
People in this episode
Guests: Bob Killen, Liam Bollmann-Dodd
Topics covered
- AI
- Kubernetes
- generative AI
- developer experience
- engineering fundamentals
Keywords
- Kubernetes
- AI
- generative AI
- Kubeflow
- developer experience
- engineering fundamentals
Mentioned in this episode
Organizations: CNCF, SlashData
Products: Kubernetes, Kubeflow
More episodes of The New Stack Podcast
- WeAreDevelopers is coming to the US to give unsung developers a bigger voice · June 11, 2026 · 50 min
- Why MotherDuck refuses to fork DuckDB · May 27, 2026 · 28 min
- JetBrains is selling independence as the rest of AI coding picks sides · May 21, 2026 · 26 min
- Why Block handed Goose to the Linux Foundation · May 15, 2026 · 20 min
- Fivetran's CPO: closed data stacks won't survive the agent era · May 13, 2026 · 23 min
- The new FinOps problem isn't cloud bills · May 12, 2026 · 28 min
Explore listener stats, chart rankings, contacts and more on the The New Stack Podcast podcast page.