Navigating the GPU Landscape for Deep Learning

This chapter explores the challenges and considerations involved in building personal computing setups for deep learning, focusing on GPU purchasing struggles and the impact of cloud computing costs. The discussion highlights the strategies and frustrations faced when acquiring high-performance components amid high demand and limited supply. It also addresses the nuances of hardware requirements, safety concerns, and the evolving market dynamics that influence the decision-making process in machine learning rig construction.