NVIDIA is working with companies such as Accenture, Avathon, Belden, and DeepHow to enhance operations with physical AI-based perception and reasoning. The continuous loop of simulating, training, and deploying physical AI offers sophisticated industrial automation capabilities, making cities and infrastructure safer, smarter, and more efficient. The companies are using NVIDIA's Metropolis platform to build visual perception into their facilities faster and enhance productivity and safety across environments.
NVIDIA (NASDAQ:NVDA) is collaborating with major players like Accenture, Avathon, Belden, and DeepHow to integrate physical AI-based perception and reasoning into industrial operations. The strategic partnerships aim to enhance automation capabilities, making cities and infrastructure safer, smarter, and more efficient. The continuous loop of simulating, training, and deploying physical AI is made possible through NVIDIA's Metropolis platform, which accelerates the integration of visual perception into facilities, thereby improving productivity and safety across various environments.
The Metropolis platform leverages NVIDIA's Omniverse technologies to build high-fidelity digital twins, enabling the development of sophisticated industrial AI. The integration of NVIDIA USD Search microservices into MetGen, MetAI's digital twin generation platform, significantly reduces build time and enhances scalability [1]. This technology allows for the seamless conversion of 2D CAD layout blocks into searchable metadata and the automatic retrieval of matching 3D assets from connected USD libraries.
Accenture, a global consulting giant, is investing in YearOne, a rising provider of AI-powered orchestration platforms for software teams. The collaboration aims to accelerate digital product design and delivery by leveraging real-time data, coaching, and performance optimization [2]. This investment underscores Accenture's commitment to integrating AI into its consulting services, aligning with NVIDIA's efforts to enhance industrial automation.
NVIDIA's advancements in robotics technology, such as new Omniverse libraries and Cosmos physical AI models, are also playing a pivotal role in this transformation. The company has introduced Omniverse NuRec libraries featuring 3D Gaussian splatting for world reconstruction and Cosmos Reason, a 7-billion-parameter reasoning model for physical AI and robotics [3]. These innovations enable developers to build physically accurate digital twins, capture and reconstruct the real world in simulation, and generate synthetic data for training physical AI models.
The strategic partnerships and technological advancements demonstrate NVIDIA's leadership in driving the integration of physical AI into industrial operations. As the company continues to innovate and collaborate with industry leaders, it is poised to significantly impact the future of industrial automation and infrastructure development.
References:
[1] https://www.prnewswire.com/news-releases/metai-to-power-simready-digital-twin-creation-for-smart-warehouses-with-metgen-and-nvidia-usd-search-302526324.html
[2] https://news.outsourceaccelerator.com/accenture-invests-in-yearone/
[3] https://www.stocktitan.net/news/NVDA/nvidia-opens-portals-to-world-of-robotics-with-new-omniverse-m3l0104hz8jn.html
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