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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.
Built from the ground up for enterprise AI, the NVIDIA DGX platform incorporates the best of NVIDIA software, infrastructure, and expertise in a modern, unified AI development and training solution. Every aspect of the DGX platform is infused with NVIDIA AI expertise, featuring world-class software, record-breaking NVIDIA-accelerated infrastructure in the cloud or on-premises, and direct access to NVIDIA DGXPerts to speed the ROI of AI for every enterprise.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications. Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI.
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.
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This is an entry-level certification that validates foundational concepts of adopting artificial intelligence computing by NVIDIA in a data center environment.
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.