Open-source tool for orchestrating ML workflows on Kubernetes. Automates model training, hyperparameter tuning, and deployment. Leverages Kubernetes scalability and container management. Kubeflow Pipelines define, track, and share end-to-end workflows. Supports TensorFlow, PyTorch, XGBoost.
Kubeflow provides a flexible and robust environment for managing ML models at scale on Kubernetes.
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