NVIDIA today introduced Jetson Xavier NX, the world's smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge. With a compact form factor smaller than the size of a credit card, the energy-efficient Jetson Xavier NX module delivers server-class performance up to 21 TOPS for running modern AI workloads, and consumes as little as 10 watts of power. Jetson Xavier NX opens the door for embedded edge computing devices that demand increased performance but are constrained by size, weight, power budgets or cost. These include small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices and other industrial IoT systems. "AI has become the enabling technology for modern robotics and embedded devices that will transform industries," said Deepu Talla, vice president and general manager of Edge Computing at NVIDIA.

Nvidia has topped an independent AI Inference benchmarking test called MLPerf. The test measures AI performance in data-centres and at the edge (on your phone, in robots, etc.) in several categories, all of which Nvidia managed to top. Much like children, AI needs to be taught to do things before it's allowed into the wild. This is done by first training an AI model in a supercomputer, where it is brought up on a diet of data. The idea is that the AI munches through this data and figures out how to deduce information from it, in other words, the AI learns to infer.