Implemented by EUMETSAT, MLOps Studio is a dedicated Machine Learning (ML) toolkit based on Kubeflow and integrated into the Destination Earth Data Lake ecosystem. It provides a cloud-native platform for orchestrating and scaling machine-learning workflows and AI pipelines alongside DestinE data sources.

The managed platform includes a visual pipeline builder for chaining data preparation, training and evaluation steps, and one-click deployment of models to production endpoints. It helps data science and engineering teams move from notebook experiments to reliable, repeatable production systems without managing the underlying infrastructure.

MLOps Studio is an Edge Service requiring a dedicated access role. Please follow the instructions in the service documentation to request access, or contact us for more information.

Explore MLOps Studio