Great! thanks a lot!

Hi @<1708653001188577280:profile|QuaintOwl32> , the support for this option was temporarily removed, but will be added back soon - we'll update here

is there a workaround for the meantime?

My aws image is configured to support my training. As docker is separated from the host system my training will not work on it.

Hi @<1708653001188577280:profile|QuaintOwl32> , you can set some default image to use. My default for most jobs is nvcr.io/nvidia/pytorch:23.03-py3

this is an urgent issue for me, as this broke my training flow

I will try to create a docker image.
What ways do I have to upload the image to be used by autoscaler? do I have to use docker-hub?

Yes, this will cause the code to run inside the container.

if so it won't work as my environment is in the hist linux

Not sure I understand this part, can you please elaborate?

will my code run inside of this docker? if so it won't work as my environment is in the host linux

That or a private docker registry

I doubt that would be possible because it looks like the autoscaler versions are global
As a quick workaround you can launch the open source autoscaler until the no-docker capability is available again.
None

Of course, but in my case its very complicated to create this image

Updating that a newer version of the autoscaler was deployed

You can always add the relevant configurations to the docker image itself as well. From my understanding a new version should be released towards the end of the month and with it the ability to run without docker image required on the autoscaler

Is there a possibility to relaunch my old autoscaler as it was? at least until the support for no-docker configuration is back? I don't care if you do it @<1574207105437536256:profile|HungryCat90>