Docker Model Runner is a faster, simpler way to run and test AI models locally, right from your existing workflow.
Products
Leveraging Docker with TensorFlow Models & TensorFlow.js for a Snake AI Game
Learn how TensorFlow.js can be used with Docker to run AI/ML in a web browser, using a real-world example of a Snake AI game.
Desktop 4.39: Smarter AI Agent, Docker Desktop CLI in GA, and Effortless Multi-Platform Builds
Docker Desktop 4.39 brings enhanced productivity with Docker AI Agent with MCP, Kubernetes support, GA of Docker Desktop CLI, and improved image handling.
Docker Engine v28: Hardening Container Networking by Default
Learn how Docker streamlines developer onboarding and helps organizations set up the right guardrails to give developers the flexibility to innovate within the boundaries of company policies.
Revisiting Docker Hub Policies: Prioritizing Developer Experience
Learn how Docker streamlines developer onboarding and helps organizations set up the right guardrails to give developers the flexibility to innovate within the boundaries of company policies.
Powered by Docker: Streamlining Engineering Operations as a Platform Engineer
Learn how Docker streamlines developer onboarding and helps organizations set up the right guardrails to give developers the flexibility to innovate within the boundaries of company policies.
Docker Bake is Now Generally Available in Docker Desktop 4.38!
Learn how Docker streamlines developer onboarding and helps organizations set up the right guardrails to give developers the flexibility to innovate within the boundaries of company policies.
Docker Desktop 4.38: New AI Agent, Multi-Node Kubernetes, and Bake in GA
Docker Desktop 4.38 brings Docker AI Agent for real-time help, plus Bake for faster builds and Multi-Node Kubernetes for better testing. Learn more!
Introducing the Beta Launch of Docker’s AI Agent, Transforming Development Experiences
Learn about the beta release of the Docker AI Agent and how this context-aware assistant helps developers seamlessly integrate into the Docker suite.