Why the Next Phase of AI Infrastructure Will Require More Than Hyperscale Datacenters

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Artificial intelligence is entering a period where infrastructure strategy is becoming inseparable from model capability. For years, hyperscale datacenters have powered the rise of large scale training, enabling frontier models to grow from millions to trillions of parameters. But as AI adoption accelerates across enterprises, industries, and real-time systems, inference is replacing training as the dominant workload, and inference has fundamentally different requirements. The next era of AI…