Cloud Native AI Year in Review
summary
Survey of CNCF work identifies papers on agentic standards and security best practices, flags pervasive AI-washing across thousands of repos, and tracks feature types (consuming, producing, development, enablement). Projects highlighted: CubeFlow applied for graduation, KGPT auto-remediates Kubernetes faults by calling an LLM, OpenTelemetry adds token tracing, and a demo runs a text‑summarizer LLM using Ray on Kubernetes via Kubray scheduled by Nova with 16 pods across OpenShift and Azure connected by Cilium cluster mesh.
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chapters (10)
- 0:00Introduction
- 1:03CNCF AI working group
- 4:11AI project maturity
- 8:49AI adoption trends
- 12:39Real-world AI use cases
- 16:14Key CNCF AI projects
- 19:25Agent frameworks in AI
- 20:50Mid-year project insights
- 22:56Non-CNCF AI projects
- 27:12Key takeaways and Q&A preview
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