AI and Machine Learning: Difference between revisions

To get the most out of our clusters for machine learning applications, special care must be taken. A cluster is a complicated beast that is very different from your local machine that you use for prototyping. Notably, a cluster uses a distributed filesystem, linking many storage devices seamlessly. Accessing a file on <tt>/project</tt> ''feels the same'' as accessing one from the current node; but under the hood, these two IO operations have very different performance implications. In short, you need to [[#Managing_your_datasets|choose wisely where to put your data]].

If you are ready to port your program for using on a Alliance cluster, please follow [[Tutoriel_Apprentissage_machine/en|our tutorial]].