Docker Model Runner is a faster, simpler way to run and test AI models locally, right from your existing workflow.

Docker offers insights into container technology, microservices architecture, and application deployment, providing documentation and best practices for building, deploying, and managing containerized applications. By exploring Docker's curated content, developers can learn about container orchestration, Docker Swarm, and Docker Compose for managing complex containerized environments. Whether you're deploying microservices, building CI/CD pipelines, or optimizing your development workflow, Docker offers resources to streamline your containerization journey and unlock the benefits of container-based deployment.

Docker

Docker Model Runner streamlines the process of running and testing AI models locally, integrating seamlessly into existing workflows. It simplifies model execution by packaging them as OCI Artifacts, supports GPU acceleration on Apple silicon, and partners with major industry players to provide optimized models and tools. This solution addresses the complexities of local AI development, improving performance, cost efficiency, and data privacy.

Introducing Docker Model Runner

LLM development is evolving: We’re making it local-first

Docker Model Runner: The simple, secure way to run AI models locally

Building momentum with a thriving GenAI ecosystem