The collaboration leverages Red Hat’s open-source software stack to create an end-to-end AI factory. By integrating Red Hat OpenShift AI for model training with Red Hat Device Edge for hardware deployment, the companies provide a framework for managing intelligence on constrained field equipment. This approach allows organizations to maintain control over their data and models while ensuring systems remain operational in environments where connectivity is intermittent or non-existent.

For Sopra Steria, the initiative marks its first industrialized edge offering built entirely on open standards. By handling the integration and security of these building blocks, the firm enables real-time processing for applications ranging from predictive logistics for transport fleets to diagnostic filtering in public health terminals. The system is designed to automate the entire AI lifecycle, from initial training in a hybrid cloud environment to maintenance and updates across distributed fleets of low-power hardware.