Nvidia Jetson Xavier Vs Nano

Get started quickly with the comprehensive nvidia jetpack sdk which includes accelerated libraries for deep learning computer vision graphics multimedia and more start prototyping using the jetson nano developer kit and take.

Nvidia jetson xavier vs nano. It s power hungry but if performance is what you re aiming for then it is the best module you can get at this footprint and price. Comparing embedded ai modules. Nano vs tx1 vs tx2 vs agx xavier. 4x 6x carmel 1 4ghz or 2x carmel 1 9ghz.

4x carmel 1 2ghz. Recently nvidia released a new member of their jetson family the nvidia jetson xavier nx. Today we re going to have a good look at new development kit from nvidia xavier nx and compare it to another dev kit from nvidia jetson nano the compute module xavier nx was announced on november 6 2019 but the development kit. Nvidia launched jetson xavier nx developer kit yesterday and i included a short comparison table in the announcement between jetson nano tx2 xavier nx and agx xavier developer kits.

Benchmarks comparison for jetson nano tx2 and agx xavier nvidia jetson is the world s leading embedded platform for image processing and dl ai tasks. Jetson nano averages fps around 15 frames per second and jetson xavier can process the video with adorable dogs at 30 frames per second. Nvidia s jetson nano tx2 and agx xavier 17 jun 2019 if you need high performance edge computing and you want to do the bulk of your processing on location turn your eyes toward the nvidia s line of jetson modules. In conclusion new nvidia jetson xavier nx is a beast.

The hardware for this video was kindly provided by seeed studio check out nvidia jetson xavier nx nvidia jetson nano and other hardware at seeed studio store. Nvidia jetson family specifications. The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices. The jetson xavier nx module figure 1 is pin compatible with jetson nano and is based on a low power version of nvidia s xavier soc that led the recent mlperf inference 0 5 results among edge soc s providing increased performance for deploying demanding ai based workloads at the edge that may be constrained by factors like size weight power and cost.

Looking to bring an ai enabled product to market. Xavier nx 15w xavier nx 10w agx xavier. Its high performance compact size variability and low power computing for deep learning make it the ideal component of mobile compute intensive projects. For these nvidia jetson modules we ve done performance benchmarking for the following standard image processing tasks which are specific for camera applications.