--- title: "CNCF Graduates Kubeflow for Production AI on Kubernetes" url: https://daily.dev/posts/cncf-graduates-kubeflow-for-production-ai-on-kubernetes-ahluysvai source_url: https://cloudnativenow.com/features/cncf-graduates-kubeflow-for-production-ai-on-kubernetes type: article source: "Cloud Native Now" published: 2026-08-18T18:34:13.448Z updated: 2026-08-19T09:36:53.800Z tags: ["machine-learning", "kubernetes", "mlops", "cncf"] reading_time: 4 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. # CNCF Graduates Kubeflow for Production AI on Kubernetes **[Cloud Native Now](https://daily.dev/sources/cloudnativenow)** · 4 min read · 0 upvotes · 0 comments ## Summary The Cloud Native Computing Foundation has graduated Kubeflow to its highest maturity tier, recognizing the Kubernetes-based platform for running AI and ML workloads including data processing, training, fine-tuning, inference and model serving across cloud and hybrid environments. The project reports nearly 260 million PyPI downloads, over 6,600 contributors from 1,000+ organizations, and 33,000+ GitHub stars, with users including NVIDIA, Red Hat, Spotify and Bloomberg. Graduation required an independent security audit, a formal steering committee, adoption of CNCF's Code of Conduct, and a Core Infrastructure Initiative Best Practices Badge. Roadmap items include Kale 2.0 for turning Jupyter notebooks into production pipelines, distributed LLM serving via OpenAI-compatible APIs in KServe, and a redesigned declarative Kubeflow Notebooks v2. ## 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 that Kubeflow has been graduated by the CNCF? Graduation is the Cloud Native Computing Foundation's highest project maturity designation, signaling strong adoption, governance, security practices, and technical stability. Kubeflow reached this status after an independent security audit, forming a formal steering committee, adopting CNCF's Code of Conduct, and maintaining a Core Infrastructure Initiative Best Practices Badge. _Teams evaluating Kubernetes-based AI infrastructure follow project maturity milestones like this on daily.dev._ ### What can Kubeflow be used for on Kubernetes? Kubeflow provides infrastructure for the full AI lifecycle on Kubernetes, covering data processing, model development, distributed training, fine-tuning, inference, and model serving across public cloud, private cloud, and hybrid environments. It integrates with tools like Prometheus, KServe, Feast, Kueue, and Istio, letting data scientists, ML engineers, and infra teams share one framework instead of separate systems. _Engineers weighing Kubernetes-native versus proprietary AI stacks track platforms like Kubeflow on daily.dev._ ### How widely adopted is Kubeflow in the industry? Kubeflow's Python packages have recorded nearly 260 million downloads from the Python Package Index, with contributions from more than 6,600 developers across over 1,000 organizations and more than 33,000 GitHub stars. Companies including NVIDIA, Red Hat, Spotify, and Bloomberg have used Kubeflow subprojects for AI infrastructure. _Anyone comparing AI infrastructure adoption numbers follows projects like Kubeflow on daily.dev._ ## Similar posts on daily.dev - [Kubeflow Has Graduated from CNCF](https://daily.dev/posts/kubeflow-has-graduated-from-cncf-wwjcdqj76) · Kubeflow · 1 upvotes · 0 comments --- 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/cncf-graduates-kubeflow-for-production-ai-on-kubernetes-ahluysvai)