Docker Desktop 4.37 streamlines AI-driven development with the new AI Catalog integration, command-line management capabilities, upgraded components, and enhanced stability to empower modern developers.
Docker Blog
Why Are There More Than 100 Million Pull Requests for AI/ML Images on Docker Hub?
We look more closely at how Docker provides a powerful tool for AI/ML development.
4 Reasons I’m Excited to Attend DockerCon 2023
Get insider details about DockerCon 2023 from Dockerhand and former Docker Captain, Michael Irwin. Register today!
Using Docker Desktop and JFrog Artifactory for the Enterprise
Learn how to configure Docker Desktop to work with JFrog Artifactory as your Docker registry to manage the push and pull of container images.
How Kinsta Improved the End-to-End Development Experience by Dockerizing Every Step of the Production Cycle
Kinsta relies heavily on Docker for this consistent experience at every step, from development to production. This article shows to leverage Docker Desktop to increase developers’ productivity.
Optimizing Deep Learning Workflows: Leveraging Stable Diffusion and Docker on WSL 2
Learn how to set up the Stable Diffusion WebUI Docker, which includes enabling WSL2 and installing Docker Desktop.
Conversational AI Made Easy: Developing a Chatbot Demo from Scratch Using Rasa and Docker
We walk through building and deploying a conversational AI chatbot using Rasa and Docker, highlighting the importance of containerization for scalability, consistency, and simplified management of machine learning models.
Docker Desktop 4.21: Support for New Wasm Runtimes, Docker Init Support for Rust, Docker Scout Dashboard Enhancements, Builds View (Beta), and More
Docker Desktop 4.21 is now available, uses less memory, and includes Docker init support for Rust, new Wasm runtimes support, enhancements to Docker Scout dashboards, Builds view (Beta), and performance and filesystem enhancements to Docker Desktop on macOS.
Running Testcontainers Tests Using GitHub Actions and Testcontainers Cloud
Learn how to run Testcontainers-based tests using GitHub Actions and Testcontainers Cloud and gain test execution insights from the dashboard.