EDGE COMPUTING
By implementing a unified application platform across all environments, enterprise IT departments eliminate the need to maintain fragmented, sitespecific management systems. Machine learning models trained in central environments can be pushed directly to remote hardware through standardised deployment pipelines. Centralised management capabilities allow operational teams to monitor system health, roll out software updates and balance workloads across global sites through a single control plane.
Kelly Switt, Senior Director, Intelligent Edge and Industrial Business Lead at Red Hat, says:“ As AI-driven applications continue to reshape how businesses operate at the edge, the need for a robust, consistent and scalable platform is paramount. Red Hat OpenShift delivers that foundation, providing the common hybrid cloud application environment that simplifies the complexity of deploying, orchestrating and managing AI workloads.
“ In collaboration with Supermicro and Everpure, we are committed to empowering customers with a supported, integrated and highperformance solution that accelerates their time-to-value for AI inferencing at the edge.”
88 September 2026