AI Infrastructure Deployment Strategies for Enterprises

This guide discusses the strategic considerations for deploying AI workloads in cloud, on-premises, or hybrid environments. It outlines the evolution of enterprise IT strategies from a cloud-first approach to a more flexible hybrid model, driven by changing business needs and technological advancements. The document details the advantages and disadvantages of cloud production AI, including scalability and cost factors, while also addressing the benefits of on-premises solutions, such as enhanced security and performance. Key questions regarding workload management, geographical distribution, and business risk are presented to help enterprises evaluate their AI deployment strategies. The guide emphasizes the importance of flexibility in choosing the right environment for specific AI workloads, considering factors like cost, risk, and compliance requirements. It also notes the trend of repatriating workloads back to on-premises environments as organizations reassess their cloud strategies in light of evolving business objectives and technological capabilities.