![]() Which development environment is available inside of Kubeflow (and which packages are installed) is determined by the Docker image used to invoke the Notebook server. These Notebook servers run as containers inside a Kubernetes Pod. Kubeflow Notebooks provide a way to run web-based development environments inside a Kubernetes cluster. In this post we’ll focus on getting a little more familiar with Jupyter notebooks and how we can leverage them within Kubeflow as part of our machine learning workflow. Part 3: Distributions and Installations.If you missed the previous installments in “Kubeflow Fundamentals” series, you can find them here: The aim of the series is to walk you through a detailed introduction of Kubeflow, a deep-dive into the various components, add-ons and how they all come together to deliver a complete MLOps platform. ![]() Welcome to the sixth blog post in our “Kubeflow Fundamentals” series specifically designed for folks brand new to the Kubelfow project.
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