Ax is a general tool for black-box optimization that allows users to explore large search spaces in a sample-efficient manner using state-of-the art algorithms such as Bayesian Optimization. At Meta, Ax is used in a variety of domains, including hyperparameter tuning, NAS, identifying optimal product settings through large-scale A/B testing, infrastructure optimization, and designing cutting-edge AR/VR hardware.