Industrial artificial intelligence, digital twins, artificial intelligence physics and accelerated artificial intelligence infrastructure are enabling companies to design, simulate and optimize products, processes and facilities virtually before physical deployment. Nvidia and Dassault Systèmes have formed a partnership that connects Dassault Systèmes’ virtual twin platforms with Nvidia accelerated computing, artificial intelligence physics open models and Nvidia CUDA-X and Omniverse libraries so designers and engineers can use physics-trained virtual twins and companions to innovate more quickly, improve efficiency and create more sustainable products. Dassault Systèmes’ Simulia software now taps Nvidia CUDA-X and artificial intelligence physics libraries to provide artificial intelligence based virtual twin physics behavior that helps predict simulation outcomes accurately and in near real time.
Nvidia is adopting Dassault Systèmes’ model-based systems engineering tools to speed the design and global rollout of gigawatt-scale artificial intelligence factories that support industrial and physical artificial intelligence. Dassault Systèmes will deploy Nvidia-powered artificial intelligence factories on three continents via its Outscale sovereign cloud so customers can run artificial intelligence workloads while meeting data residency and security demands. These technologies are already in use across multiple industries, from Lucid Motors using simulation, artificial intelligence physics open models, Dassault Systèmes’ vehicle and powertrain engineering tools and digital twins to accelerate electric vehicle innovation, to life sciences teams combining virtual twins, science-validated world models and the Nvidia Bionemo platform to hasten molecule discovery, therapeutics design and sustainable food research.
The Bel Group applies Dassault Systèmes technologies supported by Nvidia to generate and analyze food proteins, including non-dairy options that complement cheeses such as Babybel, using high resolution virtual twins to validate research more efficiently. In industrial automation, Omron relies on virtual twins and physical artificial intelligence to design and deploy automation systems with greater confidence, supporting digitally validated production. In aerospace, Wichita State University’s National Institute for Aviation Research uses virtual twins and artificial intelligence companions powered by Dassault Systèmes’ industry world models and Nvidia Nemotron open models to speed aircraft design, testing and certification. Dassault Systèmes’ physics-based industry world models are trained with PhD-level expertise in domains such as biology, physics and material science so organizations can simulate end-to-end operations from supply chains to retail shelves, with applications spanning DNA sequencing to stronger vehicle materials, and these capabilities will be highlighted at Nvidia GTC in focused industrial artificial intelligence and OpenUSD sessions.
