AI needs a home, not a hotel
AI discussions have moved past which model to run or which use case to tackle first. Enterprises developing their own private AI now face a more consequential question: where that AI should live. Drifting into public cloud because it feels familiar or delivers quick wins, without asking whether the environment meets AI's specific demands, tends to store up problems that compound with time. AI is not a transient workload. It is persistent, data-hungry, and deeply sensitive, drawing on proprietary information and embedding itself in critical workflows.
AI depends on an organization's most valuable data to operate effectively, so control, privacy, and security cannot be treated as secondary considerations. Business systems and intelligence are best safeguarded in an environment the organization owns and governs.
Enterprises building AI programs to improve business operations are making that choice, opting for private cloud infrastructure they can architect and evolve on their own terms. They...
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