Kubeflow Stack is designed to simplify the deployment of Kubeflow and additional components on AWS EKS. It supports the full lifecycle of machine learning projects: data preparation, model development, training, serving, and monitoring. Included software: Kubeflow Dashboard, kfctl, Jupyter Notebooks, TFServing, Training Operators (Tensorflow, Pytorch, XGBoost, MxNet), Pipelines, Fairing, Katib, KFServing, Seldon.