Building AI Infrastructure: Challenges and Innovations

This chapter explores the software and hardware aspects of creating a robust infrastructure for AI, with a focus on GPU optimization and cloud services. It delves into the current demand for compute capacity among enterprises and startups, the balance between training and inference workloads, and the implications for the workforce. Additionally, it addresses the importance of energy efficiency and the potential impact of recent industry developments on the future of data centers.