This Tiny Chip Will Improve The Speed Of Autonomous Vehicles And AI Machines

Yesterday, NVIDIA, an American technology firm, announced that a new chip has been successfully developed for AI-powered robots and devices.

The tiny chip is marketed as the Jetson AGX Xavier Module which is said to be capable of empowering applications from driverless cars to autonomous drones, video analytics systems, and automated factory robots.

                                                                                                                                               NVIDIA Jetson AGX Xavier Module

The chip is developed based on the Xavier SOC. It has six processing components, including a Carmel Arm64 CPU, a Nvidia Volta Tensor Core GPU, processors for video, vision, image as well as a deep learning accelerator. Jesse Clayton, an employee of Nvidia says that:

The most important thing is that although the chip can offer the processing power equal to that of a full workstation server, it only consumes 10W, making it absolutely suitable for autonomous devices and machines. The power this new chip can offer is approximately 10 times the efficiency and over 20 time the performance of older Jetson modules. And this chip is so small that it can fit into your palm.

The Jetson AGX Xavier also utilizes the AI platform of Nvidia which allows developing to equip their devices with analytics capability as well as machine learning.

According to Nvidia, the module has been receiving numerous praises from early users. For example, the Jetson AGX Xavier is a key component of UK-based Oxford Nanopore’s DNA sequencer.

A japan company, Denso, specializing in auto parts manufacturing, is also eyeing this chip to make their factories more secure. The company aims to equip all the automated machines in the factories with AI, to ensure human employees’ safety.

It is expected to see what the new Jetson AGX Xavier from Nvidia can do to the fields of autonomous and AI-enabled devices and machines in the future.