Enterprises are rethinking where their AI applications run

Executive Summary: CoreSite reports that rising demand for compute, power, cooling and low-latency connectivity is driving organizations to reassess AI workload placement, with hybrid environments and colocation increasingly preferred for production AI that requires predictable performance, dedicated infrastructure and direct cloud connections; enterprises prioritize security, uptime, scalable infrastructure and native low-latency links to major cloud providers as AI deployments move beyond pilots into production.