Jupyter Notebooks
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Set up Jupyter Notebooks → https://goo.gle/3eVOJMO
Using Jupyter Notebooks is a great way to serve your ML models, and there are some amazing benefits to using this Kubeflow-hosted component. In this episode of Kubeflow 101, Stephanie Wong will show you how to set up your Jupyter Notebooks on Kubeflow, and speak to the benefits of them – such as better integration with Kubeflow, accessibility of notebooks across teams, integration with Tensorflow, and the ability to leverage GPUs and TPUs.
Watch more episodes of Kubeflow 101 → https://goo.gle/3cqY2lR
Subscribe to the GCP Channel → https://goo.gle/GCP
Product: Kubeflow; fullname: Stephanie Wong;
#Kubeflow101
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FYI there's also https://colab.research.google.com/ for Jupyter fans
but is it to have different notebooks to talk to each other? is that why you need kubernetes for notebooks?
But GCP Kubeflow installation does not provide notebook option… It has a separate tab for notebook under AI platform alongside AI Pipelines. If we deploy kubeflow externally, we get the complete kubeflow features as per this video. Could you please provide more inputs on this?
Good Introduction to Kubeflow. Thanks