Hi Alon,

Thanks! I know that already. I am more looking for a solution to spin up the Docker container automatically without having to manually log into each one of them and start a clearml-agent from there.

Sorry for the confusion.

Hi TimelyPenguin76

Both. The agent has to run inside a container and it will spin up sibling containers to run the tasks.

For future reference, there's actually an easier way.

The entrypoint of the Docker container accepts CLEARML_AGENT_EXTRA_ARGS. So adding CLEARML_AGENT_EXTRA_ARGS=--queue new_queue_name --create-queue to your environment let's it work with the default clearml-agent image.

Unfortunately, nowhere to be found in the documentation, but you can see it in the repository: https://github.com/allegroai/clearml-agent/blob/master/docker/agent/entrypoint.sh

👍 great, so if you have an image with clearml agent, it should solve it 😀

🤔 Hmm, yes, I suppose I can do that.

Ah, yes, I found the Dockerfile on the clearml-agent already. Should be doable!

Thanks for the suggestion!

Thanks StrongHorse8
Where do you think would be a good place to put a more advanced setup? Maybe we should add an entry for DevOps? Wdyt?

Hi StrongHorse8 , you want to run the agent inside a container or the agent to run your task in docker mode?

can you build your own docker image with clearml-agent installed in it?

I guess you are using an on prem server and not cloud one (aws for example)

Ho StrongHorse8 ,

Yes, each clearml agent can listen to a different queue and use a specific GPU, you can view all the use cases and example in this link https://clear.ml/docs/latest/docs/clearml_agent/#allocating-resources