Even as the AI era has captured the public imagination and inspired countless potential applications, it’s also exposed a critical gap: Current AI data center infrastructure is not equipped to manage the massive computational demands of today’s and tomorrow’s AI applications and models. This mismatch between AI’s true capability and our ability to deploy it effectively is widening, particularly when it comes to inference—the process of putting trained AI models to work in the real business world.

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