Nvidia Jetson Xavier Wiki

This wiki page contains instructions to download and build kernel source code for jetson xavier nx several parts of this wiki were based in the document.

Nvidia jetson xavier wiki. Jetson is a low power system and is designed for accelerating machine learning applications. Tue oct 23 22 07 21 2018 nvidia jetson 0423318029309 in general the board will try to keep using the same ip address when getting it via dhcp. 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. It s an ai computer for autonomous machines delivering the performance of a gpu workstation in an embedded module under 30w.

L4t 32 4 3 is used by jetpack 4 4. The nvidia jetson agx xavier developer kit is the latest addition to the jetson platform. Nvidia jetson is a series of embedded computing boards from nvidia the jetson tk1 tx1 and tx2 models all carry a tegra processor or soc from nvidia that integrates an arm architecture central processing unit cpu. Tegra is a system on a chip soc series developed by nvidia for mobile devices such as smartphones personal digital assistants and mobile internet devices the tegra integrates an arm architecture central processing unit cpu graphics processing unit gpu northbridge southbridge and memory controller onto one package.

Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems. Nvidia jetson linux developer guide 32 4 3 release. Tegra xavier is a 64 bit arm high performance system on a chip for autonomous machines designed by nvidia and introduced in 2018 xavier is incorporated into a number of nvidia s computers including the jetson xavier drive xavier and the drive pegasus. However consider configuring your dhcp server or your router to provide a static ip address to your board to avoid the ip address to change without notice.

You get the performance of 384 nvidia cuda cores 48 tensor cores 6 carmel arm cpus and two nvidia deep learning accelerators nvdla engines. Introduction to compiling nvidia tegra jetson xavier nx source code l4t 32 4 3. With the nvidia jetson agx xavier developer kit you can easily create and deploy end to end ai robotics applications for manufacturing delivery retail smart cities and more. Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform.