Abstract

Docker is bringing open source AI to developers. This session covers Model Runner, prebuilt Dockerized models for reproducible testing, and Cagent for agent workflows, showing how Docker enables simple, local, container native AI development.

Detailed Description

Docker is extending its developer platform into AI with new open-source capabilities. This session explores Docker Model Runner for running LLMs locally, using prebuilt Dockerized models for reproducible experimentation, and Docker cagent for building and orchestrating agentic workflows. Attendees will see how Docker simplifies local AI development using familiar container-native tools.

Key Takeaways

* Understand how Docker Model Runner simplifies running LLMs locally using standard Docker workflows
* Learn how to discover, download, and run prebuilt Dockerized LLM models for fast experimentation
* See how Docker cagent enables agentic AI development and orchestration using Docker-native concepts
* Explore how local, containerized AI improves reproducibility, security, and developer productivity