- Yes, you should be able to use a CUDA10.2 docker container, as its driver requirement would be met by the newer CUDA11 driver.
- I don’t know what a Google machine image is and how hard it would be to build it.
- You could reuse the Dockerfile from the PyTorch repository.
Also, did you try to install the CUDA11.1 Pytorch 1.9.0 binaries? I don’t know which driver is installed on the node, but the CUDA enhanced compatibility might be used.