(Do notice that even though you can spin two agents on the same GPU, the nvidia drivers cannot share allocated GPU memory, so if one Task consumes too much memory the other will not have enough free GPU memory to run)

Basically the same restriction as manually launching two processes using the same GPU

That makes sense. Currently, I use python multiprocessing to launch multiple experiments on the sam GPU device. I'm guessing using trains-agent will be similar