Evaluating Infrastructure Options for Enterprise Development

This document is a technical report that outlines the considerations organizations must take into account when evaluating infrastructure options for artificial intelligence (AI) deployment. It discusses the growing importance of AI across various industries and the associated challenges in building and deploying the necessary infrastructure. The report emphasizes the need for organizations to move beyond traditional IT architectures and consider factors such as cost efficiency, scalability, and performance. It highlights the concept of data gravity, which affects the movement and management of large data sets, and the potential cost implications of cloud versus on-premises solutions. The report also details key factors for AI systems design, including the importance of a well-documented reference architecture and the integration of compute, storage, and networking components. It concludes by noting that organizations must carefully evaluate their infrastructure needs to ensure successful AI implementation, balancing cloud and on-premises resources effectively.