Nvidia Xavier Nx

It includes a jetson xavier nx module for developing multi modal ai applications with the nvidia software stack in as little as 10w.

Nvidia xavier nx. The nvidia jetson xavier nx developer kit includes a power efficient compact jetson xavier nx module for ai edge devices. Tested on jetson xavier nx jetson agx xavier. Connect tech s rudi nx embedded system utilizes the new nvidia jetson xavier nx the world s smallest ai supercomputer. You get the performance of 384 nvidia cuda cores 48 tensor cores 6 carmel arm cpus and two nvidia deep learning accelerators nvdla engines.

Installation of the ssd is different on the agx xavier. Jetson xavier nx delivers up to 21 tops for running modern ai workloads consumes as little as 10 watts of power and has a compact form factor smaller than a credit card. Nvidia jetson xavier nx products with extensive experience supporting the nvidia jetson agx xavier jetson tx2 tx2i tx1 and jetson nano platforms connect tech is proud to support the new member to the jetson family the xavier nx. Nvidia prepared a customer service robot demo to showcase the new container management system and hardware capabilities of xavier nx.

Unfortunately because 3 of 4 containers for that demo have tensorrt engine files built for jetson agx xavier and jetson xavier nx and can be run on jetson agx xavier or jetson xavier nx only. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems. Delivering up to 21 tops of performance in 15w. Developers can now take advantage of cloud native support.

Install nvme ssd on nvidia jetson developer kit. The nvidia jetson xavier nx developer kit brings supercomputer performance to the edge. Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform. It can run modern neural networks in parallel and process data from multiple high resolution sensors opening the door for embedded and edge computing devices that demand increased performance but are constrained by size.

With 384 cuda cores 48 tensor cores and 2 nvdla engines it can run multiple modern neural networks in parallel and process high resolution data from multiple sensors simultaneously. It benefits from new cloud native support and accelerates the nvidia software stack in as little as 10 w with more than 10x the performance of its widely adopted predecessor jetson tx2. It includes a small footprint jetson xavier nx module for developing multi modal ai applications with the nvidia software stack in as little as 10 w.