Big breakthroughs and advancements in AI, particularly with LLM’s (Large Language Models) have made it increasingly common for developers to integrate AI capabilities into their applications in a faster way than ever before. However, developing, running, and testing these models locally can often be challenging due to environment inconsistencies, performance issues, and dependency management. It’s a common pattern. To help with this, Docker introduced Docker Model Runner, a new feature in Docker Desktop designed to simplify the process. In this post, we’ll take a closer look at Docker Model Runner, explore its benefits, and walk through an end-to-end project to see it in action.
What Is Docker Model Runner (DMR)?
Docker Model Runner is a feature integrated into Docker Desktop that aims to streamline local development and testing of LLM models. It helps in solving several pain points often faced by developers working on AI related projects.
