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Enterprises are rethinking where their AI applications run

More than half of organizations have implemented or are upgrading AI technologies, an increase from the previous year, according to CoreSite. Growing demand for compute capacity, power, cooling and low-latency connectivity is prompting enterprises to reassess where AI applications run, with public cloud supporting experimentation and colocation increasingly used for workloads requiring predictable performance or dedicated infrastructure.

read1 min views49 publishedJul 13, 2026

Growing demand for compute capacity, power, cooling and low-latency connectivity is prompting organizations to reassess where AI applications run, according to CoreSite. Public cloud continues to support experimentation and rapid deployment, while colocation is increasingly used for workloads that require predictable performance, dedicated infrastructure or close proximity to cloud services and enterprise data. More than half of organizations have implemented or are upgrading AI technologies, an increase from the previous year. Generative AI, chatbots, predictive … More

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