New Service: STACKIT AI Model Experiments Enters Public Preview!
Section titled “New Service: STACKIT AI Model Experiments Enters Public Preview!”We are excited to announce that STACKIT AI Model Experiments is now available in Public Preview.
STACKIT AI Model Experiments is a managed MLflow™ Tracking Server designed specifically to streamline your machine learning development on the data-sovereign STACKIT Cloud. As a central building block of our Data & AI Platform, the service allows you to track, version, and compare every Hyperparameter, metric, and model artifact in a secure environment. By providing a shared “source of truth” it enables seamless team collaboration, automated resource monitoring, and reproducible model benchmarking. Whether you are performing Hyperparameter optimization or setting up CI/CD for machine learning, you can effortlessly integrate the service into your existing Python-based workflows via the SDK and visualize all results in an interactive UI—without any infrastructure overhead.
During this public preview, the STACKIT AI Model Experiments service itself is free of charge, allowing you to test and explore its full functionality. You only pay for the STACKIT Object Storage used to store your machine learning artifacts.
We are continuously improving the service based on your valuable feedback to ensure that STACKIT AI Model Experiments provides a highly scalable and reliable foundation for your machine learning lifecycle by the time it reaches General Availability.
Our Help Center is always at your disposal if you have any questions.