Why It Matters
The approach promises faster, cost-effective AI adoption across core and edge networks by reducing integration complexity and operational overhead, enabling operators to unlock new revenue streams and drive energy savings at scale.
Summary
At MWC26 SUSE outlined how open-source, cloud-native infrastructure is shifting AI-native telco networks from concept to deployment, emphasizing integration of AI at the base layer rather than as bolt-on add-ons. GM Gary McKenzie said SUSE’s strategy is to provide unified primitives and operational workflows so operators can run traditional and AI-based network functions side-by-side while avoiding new management silos. He highlighted partner demos—such as an Infosys-backed proof of concept that uses SUSE’s AI infrastructure to cut radio power use—and stressed the importance of scalable edge automation for real-world rollouts. SUSE also frames energy efficiency as both a sustainability and margin priority, positioning its platform to help operators modernize without vendor lock-in.
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