Containers are used to keep all components of a model in a single easy-to-use file, allowing for the safe and easy transfer of models between teams and machines. Cog also provides features to securely manage models and store them in a single repository, making it easy to update and maintain models without having to manually deploy and troubleshoot dependencies. Cog is built on open-source projects such as Docker and Kubernetes, making it easy to use and compatible with existing infrastructure. It is designed to be lightweight and extensible, allowing developers and ML engineers to quickly package and deploy models with minimal setup. With Cog, developers can easily build, store, and deploy machine learning models, eliminating the need for manual steps and exposing potential risks in the development process.
