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The race for AI inference is really a race for infrastructure

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The artificial intelligence revolution is entering a new phase. The question is no longer simply who can build the largest model, but who will control the infrastructure required to run AI at scale.

The economics of artificial intelligence are shifting rapidly from training models to deploying them. Every time an AI system answers a question, analyzes an image, generates code, or makes a business decision, computing power is required. 

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