Installing components for an AI system: docker

Byscientist
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There are many components that go into making an AI system in a home-lab system. One major component is Docker. For those who do not know it, this enables running a virtual system within the operating system that is currently running on the hardware. What makes Docker powerful is that it abstracts away most of the hardware components and allows use of resources. Another feature it enables is portability. It is possible to move the docker container (defined as a lightweight, standalone, executable package of software that includes everything needed to run an application) from one machine to another and still execute the application.

There are good instructions for setting this up. One that I found specifically useful was this one.

https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-22-04

Docker is a wonderful container to many applications and here are some common commands that a user should know:

Common Commands:

  run         Create and run a new container from an image

  exec        Execute a command in a running container

  ps          List containers

  build       Build an image from a Dockerfile

  bake        Build from a file

  pull        Download an image from a registry

  push        Upload an image to a registry

  images      List images

  login       Authenticate to a registry

  logout      Log out from a registry

  search      Search Docker Hub for images

  version     Show the Docker version information

  info        Display system-wide information

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