The demand for fully local GenAI development is growing — and for good reason. Running large language models (LLMs) on your own infrastructure ensures privacy, flexibility, and cost-efficiency. With the release of Gemma 3 and its seamless integration with Docker Model Runner, developers now have the power to experiment, fine-tune, and deploy GenAI models entirely on their local machines.

In this Blog, we’ll explore how you can set up and run Gemma 3 locally using Docker, unlocking a streamlined GenAI development workflow without relying on cloud-based inference services.