AI chip demand explodes globally

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The networking tangent is absolutely worth exploring because scaling a model across many accelerators introduces communication overhead. If each processor has to constantly exchange information with the others, the speed of those connections becomes part of the model's effective performance.

That is why seemingly boring components such as switches, interconnects, optical links, and memory controllers can become strategically important. Nobody puts a picture of a network switch on a flashy AI keynote slide, but the cluster cannot function without one.

AI hardware is increasingly an ecosystem rather than a single chip. The headline processor gets the attention, while a small army of supporting technologies determines whether the whole system performs as advertised.