Empowering the Future of ML: Scaling the Kubeflow Community in 2026
summary
Red Hat lays out a 2026 roadmap to grow the Kubeflow community, recruit contributors at the conference booth, and push upstream collaboration with concrete targets: 8,000 contributors already listed and ~37 recorded PRs cited as baseline. Kubeflow runs on OpenShift Kubernetes with a working trainer stack and a co-located Feast feature store offering millisecond serving latency; Feast adds native PyTorch integration, DBT compatibility, OpenLineage tracing and Ray for distribution. Live demos, games and booth maintainers produce hands-on onboarding and issue-assignable starter tasks.
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chapters (11)
- 0:00Introduction
- 2:39What is Qflow
- 4:29Why Qflow matters
- 6:15Contributing to Qflow
- 8:44Start contributing
- 10:54Call to action
- 11:14Feature store in Qflow
- 13:01Feast integration
- 14:47Feast for responsible ML
- 15:50Next steps
- 16:33Q&A
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