Most workloads move to the cloud. Omdia research shows that AI workloads are going the other way. Find out why 65% of organizations are building sovereign, on-premises environments for their AI infrastructure, and what that means for IT teams. This whitepaper by Roy Illsley, Chief Analyst, Enterprise, at Omdia, explores what’s next for enterprises operating in the age of AI.

Highlights Include: 

• How GPUs, liquid cooling, and 100 kW racks are turning IT teams into HPC operators, often on a flat budget.
• Why reactive break-fix models don’t work across AI infrastructure, and what to do instead.
• How to identify what’s slowing down your AI deployments and move forward with confidence.
• The true story of how consolidating the complicated helped an AI-focused university thrive.

Considering an enterprise AI deployment? Read this report to learn what it takes to run AI infrastructure reliably and how to prepare your team.

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