AI/ML
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Dec 16, 2025
Docker Model Runner now included with the Universal Blue family
Docker Model Runner now ships with Universal Blue (Aurora, Bluefin), delivering an out-of-the-box, GPU-ready AI development environment.
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Dec 11, 2025
Docker Model Runner now supports vLLM on Windows
Run vLLM with GPU acceleration on Windows using Docker Model Runner and WSL2. Fast AI inference is here.
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Docker Captain Dec 11, 2025
Breaking Free From AI Vendor Lock-in: Integrating GitHub Models with Docker cagent
See how Docker cagent integrates with GitHub Models to build and ship multi-agent apps without vendor lock-in.
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Dec 5, 2025
Docker, JetBrains, and Zed: Building a Common Language for Agents and IDEs
As agents become capable enough to write and refactor code, they should work natively inside the environments developers work in: editors. That’s why JetBrains and Zed are co-developing ACP, the Agent Client Protocol. ACP gives agents and editors a shared language, so any agent can read context, take actions, and respond intelligently without bespoke wiring…
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Dec 5, 2025
Announcing vLLM v0.12.0, Ministral 3 and DeepSeek-V3.2 for Docker Model Runner
Run Ministral 3 and DeepSeek-V3.2 on Docker Model Runner with vLLM 0.12. Test-drive the latest open-weights models as soon as they’re released.
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Dec 3, 2025
Securing the Docker MCP Catalog: Commit Pinning, Agentic Auditing, and Publisher Trust Levels
Learn how we’re enhancing trust in the MCP ecosystem with commit planning, AI-audited updates, and publisher trust levels within the Docker MCP catalog.
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Dec 1, 2025
Run Embedding Models and Unlock Semantic Search with Docker Model Runner
In this guide, we’ll cover how to use embedding models for semantic search and how to run them with Docker Model Runner.
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Nov 25, 2025
A New Approach for Coding Agent Safety
Coding agents like Claude Code, Gemini CLI, Codex, Kiro, and OpenCode are changing how developers work. But as these agents become more autonomous with capabilities like deleting repos, modifying files, and accessing secrets, developers face a real problem: how do you give agents enough access to be useful without adding unnecessary risk to your local…
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