OK sorry about that... Let me explain. We have researchers that sometimes work alone and sometimes in teams and our compute resources are in a SLURM based cluster. So basically, with the open source version all they can do is to open projects and run tasks while relaying on the system services to enable access separation, etc. So how is this better than just keep using "normal" python?
Thank you John, I suspected so...
So when using the open source clearML server, what are my options as far as multi-tenancy is concerned? I mean if I users simply run cleaml-init, with the credentials of a specifc project, and then clearml-agent with queue names, etc, How do I enable user/groups separation?
@<1577468638728818688:profile|DelightfulArcticwolf22> , in addition to @<1523701087100473344:profile|SuccessfulKoala55> ’s answer, you have data management, orchestration (Integration with SLURM), pipelines, reports and much more.
As I mentioned, provisioning resources according to different groups - i.e. role based access controls are an enterprise feature.
I suggest you watch the onboarding videos on the ClearML Youtube channel - None