SynaXG, a global leader in AI-driven radio access network (RAN) platforms, has unveiled a major milestone in AI-RAN technology through its Catalyst Project AURA partnership with Red Hat and OREX SAI. The demonstration showcased one of the first unified, cloud-native platforms capable of running full 5G FR1 and FR2 workloads alongside advanced AI workloads on shared commercial hardware—a step toward AI-native, 6G-ready networks.
Project AURA highlights how operators can transition from traditional connectivity to AI-first digital infrastructure, combining AI-driven RAN optimization, edge AI applications, and open network APIs. This approach not only enhances network performance but also enables operators to unlock new digital services, improve energy efficiency, and generate revenue through AI-powered capabilities.
“SynaXG’s work on Project AURA shows what’s possible when AI and RAN are unified on a single platform,” said Mantosh Malhotra, Chief Business Officer, SynaXG. “Operators can now deploy and scale AI-driven RAN while monetizing edge intelligence. This Catalyst proves the commercial viability of AI-RAN.”
How the AI-RAN Demo Worked
The demonstration leveraged SynaXG’s full AI-RAN software stack—covering Layer 1, Layer 2, and Layer 3 microservices—deployed on Red Hat OpenShift, a cloud-native platform for both IT and network workloads. The same platform simultaneously ran:
- 5G FR1/FR2 workloads
- Vision AI pipelines and large model inference
- AI-for-RAN functions like energy savings, interference cancellation, and link optimization
This software-defined architecture illustrates the efficiency and readiness of AI-RAN for commercial deployment today, while laying the foundation for AI-native networks in the 6G era.
“Running AI and RAN workloads together on Red Hat OpenShift offers a scalable, flexible foundation for operators as they evolve toward 5G-Advanced and 6G deployments,” said Anand Venkat and Yajuvendra Rawat of Red Hat. “Project AURA demonstrates how open ecosystems accelerate telecom innovation while reducing TCO.”
OREX SAI CTO Sadayuki Abeta added that combining AI-RAN software with an open, cloud-based architecture maximizes infrastructure ROI, enhances network performance, and transforms RAN into a revenue-generating asset. Using open network APIs, operators can integrate OSS/BSS with edge AI applications, including video analytics, drone control, and location-based services.
Market Implications
The demonstration has drawn attention from operators in Asia, the Middle East, and Europe exploring AI-RAN architectures to boost spectral efficiency, network performance, and AI-enabled service offerings. SynaXG is now collaborating with ecosystem partners to move Project AURA from proof-of-concept to commercial deployment, enabling operators, hyperscalers, and enterprises to integrate AI and edge intelligence seamlessly into existing 5G infrastructure.
Project AURA underscores the growing trend of AI-first networks, where cognitive intelligence and cloud-native architectures converge to redefine connectivity, monetization, and operational efficiency for next-generation telecom networks.
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