CNS is building an advanced, highly scalable AI engine to revolutionize modern RAN, empowering operators to leverage graph-based deep learning to unlock the full potential of 5G.
The CNS AI Engine is a unique AIaaS offering that brings advanced graph modeling to the RAN space. With its cloud-native microservices architecture, it seamlessly scales AI workloads up or down to meet demand, leveraging distributed computing principles for maximum efficiency.
The engine collects data from the RAN environment via a dedicated API, capturing cell-to-cell relationships and other network metrics.
Data is processed through our "RAN to Graph Translation" layer, transforming it into a graph structure that preserves both global and local network context for deeper insights.
Graph data flows into the AI/ML Services layer, where GPU-accelerated models analyze patterns and generate context-aware recommendations to optimize network performance.
Customers can access insights via APIs, integrating them into existing tools to monitor, adjust, and optimize RAN performance seamlessly.
The CNS AI Engine’s flexible, modular design integrates with both traditional and cloud-based RAN architecture.
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