Navigating Cloud Complexities for AI

This chapter explores the evolution of cloud computing and the unique challenges enterprises face in balancing hyperscalers with their own infrastructure. It emphasizes the importance of understanding specific workloads to avoid inefficiencies and overspending in AI training and inference. The discussion also highlights the competitive landscape, contrasting financial strategies of startups with those of budget-constrained enterprises as they seek efficient AI deployment.