Project AURA highlights how operators can transition from traditional connectivity to AI-first digital infrastructure by integrating AI-driven RAN optimization, edge AI applications, and open network APIs. The demonstration showed how operators can enhance RAN performance, enable AI-powered edge use cases, and open up new digital services through network APIs. The same platform concurrently ran 5G FR1/FR2 workloads, Vision AI pipelines, large model inference, and AI-for-RAN functions such as energy savings, interference cancellation, and link optimization. “Project AURA demonstrates how AI-RAN can move from concept to real-world implementation,” said Sadayuki Abeta, CTO, OREX SAI, “bringing full-stack Open RAN expertise, including RU, vRAN, and SMO development and system integration. The project plans to use open network APIs, such as TM Forum-compliant APIs and CAMARA APIs, to integrate OSS/BSS with edge AI applications.