When I was first learning python/tensorflow I tried using docker containers, but got a huge headache trying to navigate using a GPU with a container. I know VMs

When I was first learning python/tensorflow I tried using docker containers, but got a huge headache trying to navigate using a GPU with a container. I know VMs also can't really share GPU resources that effectively (at least consumer cards in pedestrian setups). I built this resistance to docker about 5 years ago, is it (or was it) still correct? Is there a best practice for sharing GPUs with containers that's not a pain in the ass? Edit: I should specify that I typically develop on Ubuntu, but occasionally will do so on Windows (without WSL).