Open Data Hub: Build a platform for AI-as-a-service (AIaaS)
Collecting and understanding the data gathered through AI/ML workloads.
What's new in Open Data Hub?
Open Data Hub 1.1.0 provides new JupyterHub capabilities and more
Learn about Open Data Hub 1.1.0 and its new JupyterHub capabilities and improved user experience, including customizable parameters, dashboard and interface.
Modern Fortune Teller: Using GitOps to automate application deployment on Red Hat OpenShift
Read more about the 2021 Red Hat Summit breakout session talk Modern Fortune Teller highlighting using GitOps on RedHat OpenShift applications.
How to install Kubeflow 1.2 on Red Hat OpenShift
Learn to install Kubeflow on OpenShift using the Open Data Hub Operator. You can fork, modify, and update the example Kubeflow toolkit to fit your needs.
Can we consider --editable a bad practice?
Take a closer look at the practice of using editable dependencies, and the issues --editable can introduce for data scientists using Project Thoth.
The machine learning life cycle, Part 1: Methods for understanding data
Explore different data visualization methods that can help you better understand your data and improve your machine learning models.
Kubeflow 1.0 monitoring and enhanced JupyterHub builds in Open Data Hub 0.8
Explore Open Data Hub 0.8's improved support for mixing ODH and Kubeflow components, CI/CD, Kubeflow monitoring, distributed machine learning, and more.
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