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Kubeflow integrates commonly used ML tools such as Tensorflow and Jupyter Notebooks into a single platform. Dozens or hundreds of iterations are produced as the models are tuned and new datasets are incorporated. Using automation to manage, build, and maintain the stages in a complex ML life cycle reduces the number of steps that must be performed manually, accelerating the ML process and minimizing mistakes. Kubeflow makes it easier to develop, deploy, and manage portable and scalable ML on Dell EMC platforms and supports the different life cycle stages of an ML project.