Private AI Needs Infrastructure That Can Evolve With the Workload

Two years ago, almost every enterprise I talked to assumed AI meant calling a frontier model through an API. That assumption is breaking down. Open-weight models have gotten good enough for a lot of day-to-day work, and what makes an enterprise AI application valuable is usually the company’s own data, not the model behind it. Once companies see it that way, keeping the model close to their data and under their control is just common sense. That’s what private AI is. You run the model in your…

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