Click the blue text above to follow us! To learn GNN, you will definitely use the torch_geometric package. PyG (PyTorch Geometric) is a library built on PyTorch that allows easy writing and training of Graph Neural Networks (GNNs), suitable for various applications related to structured data. A GCNConv can be easily called with just one … Read more
During the National Day holiday, NVIDIA published an article on its developer blog: This means that starting from CUDA 11.8, developers can install new versions of the CUDA development package on Jetson just like on PCs! This is indeed a good thing. Why do I say that? Originally, there were two types of systems on … 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
Many domestic chip companies have chosen to adapt quickly to market demands by being compatible with the CUDA ecosystem. While this is effective in the short term, in the long run, this “if you can’t beat them, join them” approach remains constrained by human limitations. Other companies choose the path of independent development but face … Read more
Click on the above “Beginner Learning Visual“, choose to add “Star” or “Pinned“ Heavyweight content delivered promptly Getting started with deep learning, many people have experienced the bitter journey from beginner to abandonment, with countless individuals failing at the first hurdle: environment configuration issues. As the saying goes, if the environment is not set up … Read more
This article is reprinted from the public account: Software-Hardware Integration (ID: cash-arch) Editor’s Note Recently, the National Development and Reform Commission and four other departments jointly released the “Implementation Plan for the National Integrated Big Data Center Collaborative Innovation System Computing Power Hub,” proposing to build national computing power network hub nodes in Beijing-Tianjin-Hebei, Yangtze … Read more
Click on “Guo Xin Nan Fang” below the title for quick attention Source: Semiconductor Industry Observation No matter how elegant and clever the design of the computing engine is, the difficulty and cost of migrating existing (sometimes very old) code from currently running devices to new computing engines is a major barrier to adoption. This … Read more
Introduction As we all know, Nvidia is a global leader in artificial intelligence platforms, primarily creating products of various sizes and power to meet customer needs for deploying their AI algorithms and applications in various use cases or scenarios as quickly as possible, covering everything from learning to enterprise deployment. Today, I would like to … Read more
This article is dedicated to Jetson TX2 users who are new to GPU development (if you’re not familiar with Ubuntu, I generally suggest that you learn it on your computer before diving into TX2). These users are often eager but have no idea where to start. When you receive our Jetson TX2 development kit, it … Read more
This Tuesday evening, NVIDIA conducted an internal training for developers participating in the NVIDIA Jetson development competition. We have organized the highlights of the training session, focusing on several key points (especially the comparison charts of specifications, which everyone should save): NVIDIA Jetson Module Product Line: Developers who are new to NVIDIA Jetson products can … Read more