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This is a simple web app that provides a dashboard view of users and the GPU resources they are currently utilizing. Built as a Flask app there are three files that make up the entire project. First, the primary application file contains the following. The second is a simple css style file with the following… Continue reading JupyterHub Dashboard

This post enables using Tensorboard within the JupyterHub + K8s ecosystem. First, access to the proxy pod is gained on the primary node by setting up a NodePort. Next, a python script is setup to run as a service that reads and updates the proxy routing table on a timed interval. The routing table gets… Continue reading Tensorboard Support

Description This post is a detailed set of instructions for setting up a Kubernetes cluster to an on-premise group of servers or workstations. JupyterHub is then deployed to the k8s cluster and customized to the application of machine learning training. Requirements Each node (computer) should have Ubuntu installed. I used Ubuntu 20.04 Root access (sudo)… Continue reading JupyterHub + K8s + Nvidia GPUs + On-premise