So in my use case each step would create a folder (potentially big) and would store it as an artifact. The last step should “merge” all the pervious folders. The idea is to split the work among multiple machines (in parallel). I would like to avoid that these potentially big folder artifacts are also stored in the pipeline task, because this one will be running on the services queue in the clearml-server instance, that will definitely not have enough space to handle all of them