Run AI Models Locally: Zero API Keys, Zero Fees with Docker Desktop Model Runner

This tutorial demonstrates how to run Google's Gemma 3 AI model locally on a Mac using Docker Desktop's Model Runner feature and integrate it with Spring Boot applications. Learn to build a fully functional AI-powered Java application that operates completely on your own machine without API keys, data sharing, or monthly fees. Discover how to configure Docker Desktop's Model Runner, run Gemma 3 locally, set up a Spring Boot application with Spring AI, connect your Java app to the local AI model, and exchange prompts and responses without cloud APIs. The 13-minute video is organized into chapters covering introduction, documentation review, models overview, Docker configuration, terminal commands, Spring Boot application creation, properties setup, Java code implementation, application execution, and conclusion. Includes links to Docker Model Runner documentation, Spring AI GitHub, and the tutorial's GitHub repository. Designed for users with Docker Desktop 4.40+ on Mac with Apple Silicon.