Kubeflow is an open-source cloud-native machine learning platform for orchestrating complicated machine learning workflows on containerized environments using Kubernetes.
Benefits and features
- Services to create and manage interactive Jupyter notebooks
- Provides a custom TensorFlow training job operator for training TensorFlow models
- Supports a TensorFlow Serving container to export trained TensorFlow models to Kubernetes
- Deploy ML workflows using Kubeflow pipelines
- Supports other frameworks such as PyTorch, Apache MXNet, MPI, XGBoost, and Chainer
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