Stefan Mileschin

Claims it is the "smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge"

Nvidia has released a new compact chip which it claims is ideal for robots and edge computing.

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. It consumes as little as 10 watts of power.

According to Nvidia, the 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.

Nvidia vice president and general manager of Edge Computing at Deepu Talla said: "Many of these devices, based on small form factors and lower power, were constrained from adding more AI features. Jetson Xavier NX lets our customers and partners dramatically increase AI capabilities without increasing the size or power consumption of the device."

Jetson Xavier NX can run multiple neural networks in parallel and processing data from multiple high-resolution sensors simultaneously in a Nano form factor (the 70 mm x 45 mm). For companies already building embedded machines, Jetson Xavier NX runs on the same CUDA-X AI software architecture as all Jetson offerings, ensuring rapid time to market and low development costs, Nvidia said.

https://fudzilla.com/news/ai/49746-n...tson-xavier-nx