wandb docker is a command that starts a docker container, passes in wandb environment variables, mounts your code, and ensures wandb is installed. By default the command uses a docker image with TensorFlow, PyTorch, Keras, and Jupyter installed. You can use the same command to start your own docker image: wandb docker my/image:latest. The command mounts the current directory into the "/app" directory of the container, you can change this with the "--dir" flag.wandb docker-run command is provided for production workloads. It's meant to be a dropin replacement for nvidia-docker. It's a simple wrapper to the docker run command that adds your credentials and the WANDB_DOCKER environment variable to the call. If you do not pass the "--runtime" flag and nvidia-docker is available on the machine, this also ensures the runtime is set to nvidia.wandb restore username/project:run_id will checkout a new branch restoring your code then launch the exact docker image used for training pre-populated with the original command.