Nvidia announced a full-stack AI compute facility in South Korea with gigawatt-scale capacity, including chip supply, power infrastructure, and data center operations under unified management. This signals a shift from US-centric compute clustering toward regional factory models. South Korea offers dense power infrastructure, manufacturing proximity, and lower latency to Asian markets. The bundled approach—chips, power, cooling, networking as integrated offerings—changes how operators procure infrastructure. Rather than assembling components across vendors, regional operators can now contract compute capacity as a complete stack, reducing deployment friction and capital sequencing complexity. For builders targeting APAC inference and training workloads, this reduces latency-sensitive bottlenecks and increases local availability outside mainland China's restricted channels. Operators previously forced into US-based training pipelines with transatlantic data movement face lower-cost alternatives for regional model serving. Second-order effect: accelerates price compression in edge inference markets as regional capacity competes with centralized US clusters.