YoVDO

Jetson AGX Xavier: Architecture and Applications for Autonomous Machines

Offered By: Nvidia via YouTube

Tags

Computer Vision Courses TensorFlow Courses TensorRT Courses

Course Description

Overview

Explore the Jetson AGX Xavier architecture and learn how to develop cutting-edge applications for autonomous machines in this comprehensive webinar. Dive into the world's first AI computer for autonomous machines, examining its high-performance I/O subsystem, GPU workstation performance, and power efficiency. Discover the Jetson AGX Xavier ecosystem, including the compute module and developer kit. Gain insights into the NVIDIA JetPack SDK, TensorRT for production inferencing, and DeepStream for zero memory copies. Investigate the Isaac SDK for simulation-to-reality applications and learn how to leverage TensorFlow's accelerated performance on the Jetson AGX Xavier. Get hands-on experience with quick-start platforms and join the Jetson community for ongoing support and collaboration.

Syllabus

Intro
BILLIONS OF AUTONOMOUS MACHINES
EXAMPLE - VIDEO ANALYTICS
VISION NETWORKS Compute Demand
JETSON AGX XAVIER World's first Al computer for Autonomous Machines
COMPREHENSIVE HIGH PERFORMANCE 1/0 SUBSYSTEM
GPU Workstation Perf. 1/10th Power
Compute Module
Developer Kit
JETSON AGX XAVIER ECOSYSTEM
TENSOR CORES HMMA / IMMA
NVPMODEL CLOCK CONFIGURATION
CARMEL CPU COMPLEX
CPU BENCHMARKS Speed-up of Xavier over TXZ
JETSON SDKS
JETPACK SDK for Al at the Edge
NVIDIA TensorRT Production Inferencing
NVIDIA TensorRT 5
NVIDIA DEEPSTREAM Zero Memory Copies
ISAAC Isaac SDK: Simulation to Reality
GETTING HELP Jetson Community
TWO DAYS TO A DEMO
TENSORFLOW Accelerated Performance with Jetson AGX Xavier
JETSON QUICK-START PLATFORMS


Taught by

NVIDIA Developer

Tags

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Computational Photography
Georgia Institute of Technology via Coursera
Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera
Introduction to Computer Vision
Georgia Institute of Technology via Udacity