Kubeflow Logo
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About Kubeflow
Kubeflow is an open-source project that provides a collection of tools and components for building, deploying, and managing machine learning (ML) workflows on Kubernetes. It aims to make the deployment of ML systems on various infrastructures as simple, portable, and scalable as possible, by leveraging the power of Kubernetes. Designed for AI platform teams, data scientists, and ML engineers, Kubeflow allows users to utilize individual components independently or deploy a complete AI reference platform. It offers a modular and composable architecture, backed by a rich ecosystem of Kubernetes-native projects that cover the entire AI lifecycle, from data preparation and model training to serving and monitoring. Kubeflow is battle-tested, community-built, and can be deployed anywhere Kubernetes runs, making it a flexible solution for diverse ML needs.
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