How the University of Utah built a sovereign AI factory to accelerate breakthroughs and slash cloud costs

The University of Utah’s move to a sovereign AI factory shows how regulated institutions can accelerate AI development while regaining control over sensitive data and reducing operating costs by up to two-thirds versus public cloud. For CIOs, the strategic takeaway is that high-value, data-intensive AI workloads may be better served by tightly integrated, on-premises or colocation-based platforms that improve performance, compliance, and cost predictability while creating a reusable shared resource for multiple teams.