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→Overview
== Overview ==
The CCU provides access to state-of-the-art hardware infrastructure for to run GPU-based accelerated machine learning frameworks based on nVidia GPUs.
This page gives a general overview and links to more in-depth tutorials on how to work with the cluster.
There is some overhead involved when writing code for your projects and you have to stick to a few guidelines,
This means for you that you have to be able to take the necessary steps to wrap your own code into a container. All this is covered in an easy, introductory way in the short tutorials below, which should be sufficient to get you started. At some point, you might want to learn about docker in a more in-depth manner, for this, I refer you to the excellent tutorials available elsewhere, some of which are linked [[CCU:tutorials|here]].
== What you need ==
