You mean the entire organization already has Kubeflow, or to better organize something (if this is the second, what are we organizing, pipelines?)
IrritableJellyfish76 if this is the case, my question is what is the reason to use Kubeflow? (jupyterLab server spinning is a good answer for example, pipelines are to my opinion a lot less)
not in use yet, but we want to take it as option in the future
Oh, then no, you should probably do the opposite 🙂
What is the flow like now? (meaning what are you using kubeflow for and how)
no, I mean to launch clearml from kubeflow UI
No sure I follow, you mean to launch it on the kubernretes cluster from the ClearML UI?
(like the clearml-k8s-glue ?)
I thought maybe the experiment manager section can be integrated
Hi IrritableJellyfish76
If you are running a code that uses clearml from kubeflow, you have out of the box integration between the two, what am I missing?