In the age of AI, the compute capacity gap is the widening chasm between surging computational demand and available infrastructure. This shortage drives strategic planning for tech giants, cloud providers, and enterprises, forcing prioritization of workloads and sparking investment in new chips and data centers. Understanding this bottleneck is crucial for investors and CTOs navigating future scalability.
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