Time to power is becoming the new measure of AI infrastructure readiness
For much of the AI boom, the infrastructure conversation has centered on compute: chips, servers and the increasingly large data centers needed to support them. But as AI moves from experimentation to deployment at scale, technology leaders face another infrastructure challenge that could be just as consequential: securing enough reliable power, quickly, to keep that compute running.
Strategy Sector Sales leader at PwC.
AI data centers are fundamentally different from traditional commercial and industrial power customers. They are larger, more concentrated and exceptionally time-sensitive, with near-zero tolerance for interruption. That makes energy availability more than an operating consideration. Increasingly, it can determine where AI infrastructure gets built, how quickly it comes online and whether organizations can turn enormous technology investments into business value.
Natural gas is emerging as a bridge fuel for AI's power challenge
For technology leaders, the key question isn't simply whether enough electricity can ultimately be...
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