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Why the Right Infrastructure for Higher Ed AI Workloads Might Be Hybrid
Matched: AI, Artificial Intelligence
Higher education institutions are increasingly adopting hybrid infrastructure to run AI workloads, balancing on-premises and cloud environments. IDC predicts 75% of enterprise AI workloads will run on hybrid infrastructure by 2028. Colleges are drawn to hybrid setups for flexibility, cost control, and data sovereignty, allowing them to optimize performance while meeting security and compliance requirements specific to academic environments.