You can specify default storage string on projects pointing to for instance a S3 bucket

TimelyMouse69 also I'm wondering how to do the following:
I'm traing a model with pytorch. If I turn off the logging by
auto_connect_frameworks=FalseI will not be able to track standard pytorch scalars like loss and lr . How to turn off storing artifacts and keep tracking scalars?

TimelyMouse69 there is a typo in a auto_connect_framworks parameter name https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk/#automatic-logging

You can configure what to log and what not in the task init: https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk/#automatic-logging

You can turn it all off by setting auto_connect_frameworks to false but you can do a finer grained control of logged frameworks with framework-boolean pairs

You can set where to store it via this config file: https://clear.ml/docs/latest/docs/fundamentals/artifacts/#setting-upload-destination

Typo will be fixed 🙂 https://github.com/allegroai/clearml-docs/pull/362

You can explicitly log them: https://clear.ml/docs/latest/docs/guides/reporting/scalar_reporting/