Nvidia Jetson Xavier Architecture

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Nvidia jetson xavier architecture. A jetson agx xavier series system running l4t to act as the pcie endpoint. 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. Jetson tx2 s architecture uses four arm cortex a57 cores and two nvidia denver d15 cores. This document describes the nvidia jetson agx xavier series camera software solution and explains the nvidia supported and recommended camera software architecture for fast and optimal time to market.

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. Development options are outlined and explained to customize the camera solution for usb yuv and bayer camera support. 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. While the xavier s vision and machine processing capabilities are definitely interesting it s use cases will be largely out of scope for the average.

Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform. Jetson is a low power system and is designed for accelerating machine learning applications. Jetson agx xavier features two vision accelerator engines shown in figure 12. 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.

The new jetson agx xavier module makes ai powered autonomous machines possible running in as little as 10w and delivering up to 32 tops. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems. Nvidia s new jetson agx embedded system kit isn t really a device platform we re expecting the average reader to think about much less buy. You get the performance of 384 nvidia cuda cores 48 tensor cores 6 carmel arm cpus and two nvidia deep learning accelerators nvdla engines.

Nvidia s carmel cpu core spec2006 speed. Today s piece is a bit of an unusual review. As part of the world s leading ai computing platform it benefits from nvidia s rich set of ai tools and workflows which enable developers to train and deploy neural networks quickly. See the nvidia application note nvidia jetson agx xavier pcie endpoint design guidelines da 09357 for details.