NVIDIA and Uber announced that the ridesharing company has selected NVIDIA technology for the AI computing system in its fleet of self-driving vehicles. Uber began working on self-driving technology in early 2015, and launched the first city trials in Pittsburgh, in fall 2016, followed by a second pilot in Phoenix, starting in early 2017. Over this period, self-driving Uber’s use of NVIDIA’s technology reflects the reality that the computational requirements of self-driving vehicles are enormous. Self-driving cars and trucks must perceive the world through high-resolution, 360-degree surround cameras and lidars; localize the vehicle within centimeter accuracy; detect and track other vehicles and people; and plan a safe, comfortable path to the destination. All this processing must be done with multiple levels of redundancy to ensure the higher level of safety. The computing demands of driverless vehicles are easily 50 to 100 times more intensive than the most advanced cars today.