** Step 1: [[Tutorials:Install nVidia CUDA and GPU drivers|Install nVidia CUDA and GPU drivers]]
** Step 2: [[Tutorials:Install the nVidia docker system|Install the nVidia docker system]]
** Step 3: [[Tutorials:Link to container registry on our server|Link to container registry on our server]]
** For the impatient: [[Tutorials:Complete install script for a fresh Ubuntu 18.04|Complete install script for a fresh Ubuntu 18.04]]
These tutorials should still work: * Learning the basics of Docker(requires docker or nvidia-docker for the GPU containers)** [[Tutorials:Link to container registry on our server|Link to container registry on our server]]
** An in-depth look at a [[Example:container which trains MNIST using Tensorflow|container which trains MNIST using Tensorflow]], with the following steps:
*** Step 1: create a local python tensorflow application.
** Step 2: [[Tutorials:Set up your Kubernetes user account|Set up your Kubernetes user account]]
** Step 3: [[Tutorials:Run the example container on the cluster|Run the example container on the cluster]] and make sure that it works correctly.
** Step 4: [[Tutorials:Persistent volumes on the Kubernetes cluster|Persistent volumes on the GPU cluster]]
** Step 5: [[Tutorials:Monitoring with Tensorboard on the GPU cluster|Monitoring with Tensorboard on the GPU cluster]]
== Tips and Tricks ==