As AI adoption accelerates, much of the interest — and investment — in infrastructure has focused on large training clusters comprising thousands of GPUs. These AI workloads, however, are concentrated in a small number of specialist facilities. Over time, most data centers will invest more heavily in supporting inferencing workloads.
This short explainer helps operators understand why. Future reports will examine the types of infrastructure likely to be required for various scenarios and architectures.
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