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NVIDIA Omniverse is a cloud-native, multi-GPU, real-time simulation and collaboration platform for 3D production pipelines based on Pixar's Universal Scene Description (USD) and NVIDIA RTX.
NVIDIA LaunchPad is a free program that provides users short-term access to a large catalog of hands-on labs. Now enterprises and organizations can immediately tap into the necessary hardware and software stacks to experience end-to-end solution workflows in the areas of AI, data science, 3D design collaboration and simulation, and more.
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to deploy your application.
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Learn how to integrate your sensor of choice for NVIDIA DRIVE®.
In this course, you will be guided through a working example of a custom plugin for a sensor using the DriveWorks SDK and implement core elements of the plugin.
In this course, you will be guided through a working example of a custom plugin for a sensor using the DriveWorks SDK and implement core elements of the plugin.
NVIDIA just announced at CES 2023 that early access is now available for NVIDIA Omniverse Avatar Cloud Engine (ACE). Developers and teams building avatars and virtual assistants can register to join the program, which includes access to the Omniverse ACE suite of cloud-native AI microservices for faster, easier development of interactive avatars.
Over the past decade, the rapid development of deep learning convolutional neural networks has completely revolutionized how computer vision tasks are performed. Algorithm, software, and hardware improvements have enabled single computer vision models to run at incredibly fast speeds. This real-time performance opens up new possibilities for a wide range of applications, such as digital surgery.