Hi SubstantialElk6

The ClearML session ended up tunneling into the physical machine that my agent is running on,

Yes that is the correct behavior. basically the clearml-session is using the agent to "schedule" a machine, then spin a container with JupyterLab/VSCode , and finally connect your CLI directly with that machine.
You can think of it as a way to solve the resource allocation problem.
Make sense ?

Are you running the agent in docker mode ?
Is there a mount to the host machine ?

Hi, I was expecting to see the container rather then the actual physical machine. For example, in the file panel on the left of the jupyter panel, I see the file contents of the physical machine. I was expecting this to be the container.

Hi, I was expecting to see the container rather then the actual physical machine.

It is the container, it should tunnels directly into it. (or that's how it should be).
SSH port 10022

Hi it is missing --docker on the agent. Thanks! Dynamic GPU option only available with Enterprise version right?

Dynamic GPU option only available with Enterprise version right?

Correct 🙂