blockimmune, Bureaucrats, Administrators
431
edits
Changes
no edit summary
* You may be sharing your part of the cluster with other users. If so, it is a good idea to avoid using all the GPUs. If you're training models in PyTorch, you can do this using the <code>CUDA_VISIBLE_DEVICES</code> command.
* You should avoid storing data files and model checkpoints to your root directory. Instead, use the `<code>/ephemeral` </code> directory. Your home directory should come with a symlink to a subdirectory which you have write access to.
