RotundHedgehog76 , Hi 🙂

In none-docker mode, the agent simply runs on the target machine and creates a python virtual environment and runs the experiment in it. This means that you need to handle CUDA and other system installations for the agent to run your experiments.

When agent runs in docker mode, it will set up a docker image (that was pre-defined) and will create the virtual environment in that docker.

Basically the docker option gives you the most surgical and exactly pre-defined system to run it 🙂

Does that help?