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What's New in Altair AI Hub 2025.0?

Released: Xth December 2024

Version 2025.0 is compatible with version 10 and 2024. When you’re still on version 9, then upgrading to 2025 is a major version upgrade. Please make sure to read the upgrade from AI Hub 9 migration instructions!

AI Hub 2025.0 comes with major updates of the underlying technology stack and a handful of new features.

We've updated the underlying technology stack to now use Java 17 and all applications using the Spring Boot framework are now updated to its latest release to enhance security and improve reliability.

In addition, 2025.0.0 comes with a couple of new features.

Projects are now paginated and we've added filters

When your project base grows large, scrolling through your Projects could become a tedious task. We've added proper pagination and filtering to accelerate finding your Projects easily.

img/02_project_filters.png

View installed extensions in Scoring Agent

The Scoring Agent now features REST endpoints to view which RapidMiner extensions are installed. Please see the OpenAPI specification for more information.

Improvements to Web API Agents

The Web API Agent is now capable of keeping already deployed Endpoints and not fetch them from scratch on each restart. Although disabled by default, this improves speed dramatically for a large Endpoints base. See more in the detailed changelog.

Various AI Hub frontend improvements

Besides upgrading dependencies, AI Hub's frontend now requires HTTPS to improve security.

In addition, we've added an administrator frontend page to show internally running tasks.

img/01_internal_tasks.png

AI Hub high availability and task distribution

AI Hub now generates a volatile application identifier. This improves behavior of internally running tasks, also across multiple instances in high availability mode.

Behind the scenes, we've also fixed some minor glitches, upgraded dependencies and improved overall performance, especially with regards to uploading LFS objects where now files ending with .rmmodel are also tracked in LFS by default for newly created Projects.

Changelogs