Since January 15, NVIDIA released the upgraded Jetson NANO development kit, we finally got the physical product today, four days later. I’m sure some users are asking: How do I know if I bought the first or second generation? Look at the outer packaging: Let’s take a look at the physical product: The second generation … Read more
Some members in the group reported: I searched the NVIDIA forum and found that while there are not many such issues, some people do encounter them. For example, someone reported that flashing the NVME driver on the Jetson Orin NANO development kit was unsuccessful, with the following prompt: Set the recovery jumper => okPlug USB … Read more
This video provides an overview of the security features of the Jetson product series and details the steps involved in the secure boot process, integration, and deployment. More Jetson Tutorials: NVIDIA Jetson TX2 Series Interface Tuning and Compliance Testing Guide Designing Cameras Using NVIDIA Jetson TX2 The new version of Matlab has fully integrated support … Read more
This article is from: Source: https://medium.com/@stephen.gardner.ag/integration-of-nvidia-jetson-systems-in-industrial-networks-abb8a17f1745 When industrial networks utilize NVIDIA®’s Jetson™ Xavier system, it opens up a world of machine learning applications. Xavier is based on the successful Tegra system, which is the most powerful system in the NVIDIA® Jetson™ series. The performance of Xavier’s 8-core ARM processor is comparable to many systems, and … Read more
NVIDIA launched the new generation of embedded development kits in April, Jetson AGX Orin, which is currently the most powerful, compact, and energy-efficient AI supercomputer on the market, suitable for advanced robotics, autonomous machines, and next-generation embedded and edge computing. In this series, we will introduce how to use the Jetson AGX Orin development kit … Read more
The previous article has configured the Jetson Orin development kit with the Ubuntu 20.04 L4T (Linux for Tegra) desktop operating system, but the following required development resources have not been installed: CUDA Toolkit; cuDNN Neural Network Acceleration Library: TensorRT Inference Acceleration Engine; OpenCV Computer Vision Library; VPI Vision Programming Interface; DeepStream Intelligent Analysis Tool; In … Read more
1: Classification of AI Chips There are many AI chips on the market, which can be quite dazzling. Based on their application scope, they can generally be divided into several categories. Terminal AI Chips: Terminal AI chips require low power consumption and have relatively low computing power demands, mainly for AI inference applications. Terminal AI … Read more
1. Weight Initialization — The “Morning Star” of Neural Networks In the vast universe of neural networks, weight initialization serves as the morning star, guiding the direction of model training. It is not merely about randomly assigning initial values to weights; rather, it is a crucial factor that determines whether the model can learn efficiently … Read more
This article is compiled from the NVIDIA lecture “Empower Your Industrial Edge AI Applications with NVIDIA Jetson“ (This is not a complete lecture, just selected slides we believe are key) Let’s dive into the industrial aspects. What challenges exist in cognitive environments? Industrial applications need to consider various shock factors. For example, systems may experience … Read more
The NVIDIA Jetson platform provides extensive access to edge AI and robotics application development through the world’s most comprehensive AI software stack and ecosystem. It integrates scalable platform software, modern AI stacks, flexible microservices and APIs, ROS packages, and AI workflows tailored for specific applications. In this talk, you will learn the skills to accelerate … Read more