--- title: "Kubeflow Has Graduated from CNCF" url: https://daily.dev/posts/kubeflow-has-graduated-from-cncf-wwjcdqj76 source_url: https://blog.kubeflow.org/graduation type: article source: "Kubeflow" published: 2026-08-25T21:39:18.975Z updated: 2026-08-25T22:03:54.002Z tags: ["machine-learning", "kubernetes", "mlops", "cncf"] reading_time: 3 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Kubeflow Has Graduated from CNCF **[Kubeflow](https://daily.dev/sources/kubeflow)** · 3 min read · 0 upvotes · 0 comments ## Summary Kubeflow has officially graduated from the Cloud Native Computing Foundation, marking it as a mature, widely adopted, production-ready project. Since joining as an incubating project in 2023, the community has grown to over 6,600 contributors across 1,000+ organizations, 33,000+ GitHub stars, and nearly 260 million PyPI downloads. Enterprises including Bloomberg, NVIDIA, Red Hat, LinkedIn, and Spotify use it to standardize AI/ML workloads. The project also completed a third-party security audit and formalized its steering committee ahead of graduation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What does it mean for a project like Kubeflow to graduate from CNCF? CNCF graduation confirms a project is mature, widely adopted, and production-ready. For Kubeflow, it recognizes its role as the Kubernetes-native backbone for AI and ML workloads at scale, covering data processing, interactive development, distributed training, fine-tuning, inference, and model serving. Reaching this status required a third-party security audit, a formalized steering committee, and adoption of the CNCF Code of Conduct. _daily.dev surfaces milestones like this for teams evaluating Kubernetes-native AI infrastructure options._ ### How widely adopted is Kubeflow for running AI and ML workloads on Kubernetes? Kubeflow has grown to over 6,600 contributors across 1,000+ organizations, more than 33,000 GitHub stars, and nearly 260 million PyPI downloads of its Python packages. Major enterprises including Bloomberg, NVIDIA, Red Hat, LinkedIn, and Spotify use it to standardize their AI workloads on a vendor-neutral, Kubernetes-based foundation. _Teams comparing AI infrastructure platforms track adoption signals like this on daily.dev._ --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#kubernetes](https://daily.dev/tags/kubernetes), [#mlops](https://daily.dev/tags/mlops), [#cncf](https://daily.dev/tags/cncf) [View this post on daily.dev](https://daily.dev/posts/kubeflow-has-graduated-from-cncf-wwjcdqj76)