Discover why small language models (SLMs) are becoming the future of agentic AI systems, offering superior efficiency, cost reduction, and operational benefits over large language models (LLMs) in enterprise deployments.
Learn how to set up Gemini CLI with Docker MCP Toolkit for powerful AI-assisted development. Complete guide with step-by-step instructions, benefits, and real-world examples
Docker Desktop 4.42 brings real-time streaming and tool calling to Model Runner, transforming how developers build AI applications locally. No more waiting for responses or cloud dependencies—watch AI generate content token by token with full GPU acceleration on port 12434.
Solving the n8n community's #1 integration challenge with a practical HTTP bridge solution
Whether you're building generative AI applications, experimenting with machine learning workflows, or integrating AI into your software development lifecycle, Docker Model Runner provides a consistent, secure, and efficient way to work with AI models locally.
The shift from prompt engineering to context engineering reflects a broader evolution in how we design, manage, and optimize interactions with large language models (LLMs). While prompt engineering was once hailed as a core skill for leveraging LLMs, the future lies in how we structure and engineer the context in
Your weekly digest of Cloud-Native AI and Model Context Protocol innovations.
The new Docker Model Runner can deliver 5-10x speed improvements for AI workloads on MacBooks. Check it out.
Agentic AI
How Docker is solving the packaging and security challenges that will define the next generation of intelligent agents
Agentic AI
VS Code developers using GitHub Copilot are already experiencing the power of AI-assisted development. But what if your AI assistant could do more than just write code?
Agentic AI
Look, I've been working with AI tools for a while now, and this Docker MCP setup is honestly one of the most impressive things I've seen.
n8n
Stop sending your sensitive data to the cloud. Learn how to set up a complete local AI automation platform using n8n, Docker Model Runner and Docker MCP Toolkit
