The State of Cloud Native: The Shift Towards AI
summary
Kubernetes becomes the de facto orchestration layer for AI workloads with 98% cloudnative adoption and 66% of organizations running some AI on Kubernetes (7% daily, 47% occasional). The ecosystem counts 250+ CNCF tools across sandbox/incubating/graduated tiers and working groups deliver concrete outputs: DRA GA in Kubernetes 1.34 for accelerator abstraction, archived Serving workgroup artifacts and a promoted SIG for inference performance, plus initiatives on AI conformance, batch, serving, networking and agent sandboxes.
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chapters (22)
- 0:00Introduction
- 0:22Container history
- 1:07Linux primitives and Kubernetes gap
- 2:10Container adoption drivers
- 3:12Apple’s container project
- 3:34Kubernetes leadership
- 4:36CNCF velocity report
- 5:59CNCF maturity tiers
- 7:42Cloud native and AI influence
- 8:04AI pillars for open source
- 9:28AI and cloud native communities
- 10:09Kubernetes for AI workloads
- 11:52AI workloads on Kubernetes
- 13:15Cloud native AI tools
- 14:39AI on Kubernetes initiatives
- 16:46AI SIGs and working groups
- 17:49Community sustainability
- 18:31Open source contributions
- 19:33TAG reboot
- 20:58Graduation criteria
- 21:40Diversity in governance
- 22:01Summary
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