Docker Model Runner now supports vLLM on Windows
Great news for Windows developers working with AI models: Docker Model Runner now supports vLLM on Docker Desktop for Windows […]
Docker devops updates
Great news for Windows developers working with AI models: Docker Model Runner now supports vLLM on Docker Desktop for Windows […]
The landscape of AI development is rapidly evolving, and one of the most exciting developments in 2025 from Docker is
Today, the Linux Foundation launched the Agentic AI Foundation with three founding projects: Anthropic’s Model Context Protocol (MCP), Block’s goose
Docker has long been the simplest way to run containers. Developers start with a docker-compose.yml file, run docker compose up,
Developers live in their editors. As agents become capable enough to write and refactor code, they should work natively inside
At Docker, we are committed to making the AI development experience as seamless as possible. Today, we are thrilled to
Trust is the most important consideration when you connect AI assistants to real tools. While MCP containerization provides strong isolation
For most developers, getting started with AI is still too complicated. Different models, tools, and platforms don’t always play nicely
Embeddings have become the backbone of many modern AI applications. From semantic search to retrieval-augmented generation (RAG) and intelligent recommendation
Do you know who managed to cut costs by a staggering 90% by abandoning microservices for a monolith in May