Getting started with AI notebooks and Jupyterhub on GKE
The recent growth in distributed, compute-intensive ML applications has prompted data scientists and ML practitioners to find easy ways to prototype and develop their ML models. Running your Jupyter notebooks and JupyterHub on Google Kubernetes Engine (GKE) can provide a way to run your solution with security and scalability built-in as core elements of the …
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