New features

Here is a quick summary of the major updates in the platform that are relevant for users. Minor updates to the documentation will still be performed continuously but not notified here.

📘 docs, 📈 dashboard, 📌 others

• 📈 we started supporting smart scheduling to greener datacenters (2026-03-12)

• 📌 we started supporting the KMD4EOSC project (2026-02-09)

• 📌 we release a new Helpdesk and Community to improve interaction with users (2025-08-01)

• 📈 we released our provenance tracking workflow (2025-07-10)

• 📈 we migrated to our new authentication system (2025-07-01)

• 📈 we started supporting deploying models to the EOSC node (2025-06-20)

• 📈 we started supporting drift monitoring detection (2025-06-10)

• 📈 we started supporting batch mode trainings (2025-05-25)

• 📈 we added support for developers to provide minimum inference resources (2025-05-06)

• 📈 we started supporting Federated Learning trainings with NVFLARE (2025-04-07)

• 📈 we changed the Dashboard layout and added an LLM catalog section (2025-04-04)

• 📈 we added support for Vision-enabled LLMs (2025-03-19)

• 📈 we started support deploying your own LLM instance (2025-02-28)

• 📘 Added documentation on how to integrate the platform LLM as coding assistant in VScode (2025-02-13)

• 📈 we started support deploying external models from AI4Life (2025-01-30)

• 📈 deployed in beta the LLM service (2025-01-15)

• 📈 added support for async calls to OSCAR services (2024-12-12)

• 📈 support the ability of making snapshots of deployments (2024-11-26)

• 📈 enable Gradio UI for inference on the platform dedicated resources (2024-11-26)

• 📈 added support to label images with CVAT (2024-11-14)

• 📈 add support for Seanoe and Data Europa datasets downloading (2024-10-18)

• 📈 redesign of the Dashboard Marketplace, with new filtering features (2024-10-18)

• 📈 redesign of the Dashboard module pages, following the new metadata schema (2024-10-18)

• 📈 we send notifications to users when deployments take long to deploy (2024-10-11)

• 📌 we started supporting the AI4Life project (2024-10-07)

• 📈 new ability deploy OSCAR services from the Dashboard (2024-09-25)

• 📈 redesign the Dashboard+Docs around the main user workflows: Try, Develop, Deploy (2024-09-20)

• 📈 new Profile section where you can link your storage providers (2024-09-04)

• 📈 new try-me deployments (2024-09-03)

• 📌 new federated cluster is available in production (2024-08-05)

• 📈 new external datasets download feature (2024-06-30)

• 📘 new guides to perform Incremental Learning (2024-06-20)

• 📈 new stats section in the Dashboard (2024-05-14)

• 📘 support for token authentication in Federated Learning trainings with Flower (2024-04-16)

• 📘 new New features page (meta!) (2024-04-03)

• 📘 new tutorials for creating AI Inference pipelines (Elyra, Flowfuse) (2024-03-18)

• 📘 new MLflow tutorials (2024-02-09)

• 📘 new Frequently Asked Questions (FAQ) page (2024-02-05)

• 📌 MLflow available under new domain (2024-01-29)

• 📈 we enforce a quota of 2 GPUs per user for better resource distribution (2024-01-25)

• 📘 updated Quickstart page (2024-01-24)

• 📈 users are able to select specific GPU models (2024-01-18)

• 📌 new Nextcloud storage available (2024-01-15)

🚀 Upcoming features

In this section, we will offer some insight on to where the AI4OS stack is heading. Some of these features are experimental and might not end up being integrated in the stack:

• integration of carbon mnonitoring

Do you find something missing? Please check how to suggest a new feature.