9 months ago

A quick look at pull requests of well-known AI/ML-related images on https://hub.docker.com/ shows more than 100 million pull requests. The same things that drive developers to use Docker for any project: accelerating development, streamlining collaboration, and ensuring consistency within projects.

Docker images or containers can be easily shared and distributed, ensuring that everyone has access to the same environment and dependencies. This collaboration can help streamline the development process and reduce the time and effort required to set up development environments.

By using Docker to package and distribute AI/ML applications and their dependencies, developers can simplify the development process and focus on building and improving their models.