Optimizing PyTorch Docker images

· 0 min read
docker

You don’t need CUDA runtime because PyTorch includes all the necessary CUDA binaries, so you can save space by switching to a lighter base image. A one-line change brings 2 gigs of saved space:

# FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
FROM nvidia/cuda:11.8.0-base-ubuntu22.04

Source: Optimizing PyTorch Docker images: how to cut size by 60%