Nvidia Jetson Xavier Yocto

It s an ai computer for autonomous machines delivering the performance of a gpu workstation in an embedded module under 30w.

Nvidia jetson xavier yocto. At koan we are long time developers and users of the yocto project since 2012 and openembedded since 2009. Cookies help us deliver our services. The yocto project openembedded and meta tegra bsp provide an excellent solution. You get the performance of 384 nvidia cuda cores 48 tensor cores 6 carmel arm cpus and two nvidia deep learning accelerators nvdla engines.

Jetpack sdk includes the latest jetson linux driver package l4t with linux operating system and cuda x accelerated libraries and apis for ai edge application development. Nvidia jetson production modules and developer kits are all supported by the same nvidia software stack enabling you to develop once and deploy everywhere. Learn about the instructions to configure build and install yocto in nvidia platforms in this ridgerun developer wiki. The nvidia jetson agx xavier developer kit is the latest addition to the jetson platform.

Jetson agx xavier is designed for robots drones and other autonomous machines. It s an ai computer for autonomous machines delivering the performance of a gpu workstation in an embedded module under 30w. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems. Those open source projects are our favorite tools for creating customized distributions for iot and ai.

Jetson agx xavier is designed for robots drones and other autonomous machines. In this article we discuss how to get started with nvidia jetson agx xavier and build a minimal custom linux distribution using the yocto project yp and openembedded oe. Summary yocto enables fine grained control over which version of each software package is included in your embedded device so you can develop collaboratively maximize performance by utilizing hardware accelerators plug security holes and update the device with new features and more easily migrate to new soc releases all the while focusing on what makes your product unique instead of being. By using our services.

In this presentation leon will share his experience in customizing poky the reference distribution of the yocto project for embedded devices with nvidia tegra socs using openembedded build system and the bsp meta layer meta tegra. Supported by nvidia jetpack and deepstream sdks as well as cuda cudnn and tensorrt software libraries the kit provides all the tools you need to get started right away. Xavier jetson xavier jetson xavier 8gb nano jetson nano qspi sd jetson nano emmc xavier nx.