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Kubeflow is a nonprofit, open-source project founded in 2017 by Google, with contributions from a wide range of technology leaders including Cisco, IBM/Red Hat, Microsoft, and AWS. Headquartered in Sunnyvale, California, Kubeflow serves as a foundation for AI and Machine Learning (ML) platforms on Kubernetes, providing a cloud-native MLOps platform that simplifies the management of ML workflows.
The platform includes several integrated subprojects, such as Kubeflow Notebooks for interactive development, Kubeflow Pipelines for orchestrating ML workflows, and KServe for scalable model serving. Kubeflow supports various ML frameworks and integrates seamlessly with cloud platforms like AWS, Google Cloud, and Azure. Its mission is to enable ML engineers and data scientists to leverage cloud assets effectively, ensuring portability and scalability without vendor lock-in. Kubeflow is backed by a global community of over 200 developers and is adopted by major enterprises for production-grade ML operations.