AI/ML
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Dockerizing MCP – Bringing Discovery, Simplicity, and Trust to the Ecosystem
Discover the Docker MCP Catalog and Toolkit, a new way to source, use, and scale with MCP tools.
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Run Gemma 3 with Docker Model Runner: Fully Local GenAI Developer Experience
Explore how to run Gemma 3 models locally using Docker Model Runner, alongside a Comment Processing System as a practical case study.
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Introducing Docker Model Runner: A Better Way to Build and Run GenAI Models Locally
Docker Model Runner is a faster, simpler way to run and test AI models locally, right from your existing workflow.
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Docker Desktop 4.40: Model Runner to run LLMs locally, more powerful Docker AI Agent, and expanded AI Tools Catalog
In Docker Desktop 4.40, we’re introducing new tools that simplify GenAI app development and support secure, scalable development.
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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.
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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.
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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!
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Simplify AI Development with the Model Context Protocol and Docker
Get started using the Model Context Protocol to experiment with AI capabilities using Docker Desktop.
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