Docker Desktop ≠ Docker Engine, and I think what you (and several in this thread) are thinking is actually Docker Engine. Docker Desktop ultimately includes a Docker Engine inside, but it does not appear you need that virtual machine (e.g. running non-Linux code). See: docs.docker.com/desktop/faqs/linuxfaqs/#what-is-t…
Docker Desktop is based on KVM, which already works with Flatpak. So this is not something new. For example, GNOME Boxes is available as Flatpak and provides a way to run KVM guests in SteamOS.
Starting with version 3.5 (the current stable) SteamOS already includes Podman with the default installation. And running the daemon-y Docker Engine “bare metal” is not going to be any easier with the immutable filesystem. While Docker Desktop solves this by using KVM, it adds another layer with performance loss, vs. just running Podman containers.
So what you want is already available, and no Docker Desktop is actually needed.
Installing podman-compose with the immutable filesystem is fairly straight forward, since it is just a single Python file (github.com/containers/…/podman_compose.py), which you can basically install anywhere in your path. You can also first bootstrap pip (python3 get-pip.py --user with get-pip.py from github.com/pypa/get-pip) and then do pip3 install --user podman-compose.
Yes. If you mean “CLI” as for e.g. pacman install, it is a GUI (Electron) application, so I expect will install straight from e.g. KDE Discover and then run without you touching the shell.
This is quite untrue, especially if you do actual research and not just run other people’s models. For example, ROCm is missing in many sparse autograd frameworks, e.g. pytorch_sparse, or having a viable alternative to Nvidias MinkowskiEngine. This is needed if you do any state-of-the-art convnets with attention-like sparsity.
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