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As AI inference moves from centralized clusters to regional and far-edge locations, the WAN becomes the AI WAN fabric binding distributed inference, centralized training, security, and operations into a single, coherent platform. New AI-native applications must deliver predictable latency, handle high concurrency, and improve cost per token at scale, which is accelerating the shift to more distributed AI infrastructure. Many inference requests now depend on the WAN to deliver deterministic performance, enforce policy, and coordinate activity across domains in real time. In the AI era, intel…
