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

Tired of paying for AI API access? Want to keep your data secure? In this tutorial, I'll show you how to run Google's Gemma 3 AI model locally on your Mac using Docker Desktop's new Model Runner feature and integrate it with Spring Boot applications. In just 15 minutes, you'll learn how to build a fully functional AI-powered Java application that runs completely on your own machine - no API keys, no data sharing, and zero monthly fees! What You'll Learn: • How to configure Docker Desktop's Model Runner feature • Running Gemma 3 (Google's powerful open-source AI model) locally • Setting up a Spring Boot application with Spring AI • Connecting your Java app to the local AI model • Sending prompts and receiving responses without cloud APIs Video Chapters: 0:00 - Introduction 1:15 - Docker Model Runner Documentation 2:40 - Available Models Overview 3:25 - Docker Desktop Configuration 4:30 - Running Models in the Terminal 6:10 - Creating a Spring Boot Application 7:45 - Setting Up Properties 9:20 - Writing the Java Code 10:35 - Running the Application 11:30 - Conclusion Want more developer tips like this? Hit the subscribe button and ring the notification bell to never miss an update! Check out more AI development tutorials on my channel. 🔗 Resources: - Docker Model Runner Documentation: https://docs.docker.com/desktop/model-runner/ - Spring AI GitHub: https://github.com/spring-projects/spring-ai - My GitHub Repo for this tutorial: https://github.com/danvega/docker-model-runner 💻 Running on: Docker Desktop 4.40+ on Mac with Apple Silicon Let me know in the comments if you're using this approach and what models you're trying out! 👋🏻Connect with me: Website: https://www.danvega.dev Twitter: https://twitter.com/therealdanvega Github: https://github.com/danvega LinkedIn: https://www.linkedin.com/in/danvega Newsletter: https://www.danvega.dev/newsletter SUBSCRIBE TO MY CHANNEL: http://bit.ly/2re4GH0 ❤️