The public cloud appears flexible but comes with high costs, data risks, and complex compliance challenges. At the same time, building an in-house AI infrastructure demands deep expertise and months of integration, delaying or even derailing projects. The result? Too often, GenAI gets stuck in pilots with little to no impact. This report explores a smarter approach: how an integrated private cloud model can make AI scalable, controllable, and efficient, without the pitfalls of traditional frameworks.
