NVIDIA and Dassault Systèmes Unite to Accelerate Industrial Innovation

NVIDIA and Dassault Systèmes have joined forces to transform industrial workflows, leveraging cutting-edge technologies like OpenUSD, Omniverse, and AI physics. This collaboration aims to accelerate product design, simulation, and optimization processes across various industries by harnessing powerful computing resources and advanced algorithms.

Enhancing Product Development with Virtual Twins

The partnership brings together Dassault Systèmes’ renowned Virtual Twin platforms—used for creating digital replicas of physical products or systems—with NVIDIA’s accelerated computing capabilities. This combination allows designers and engineers to create highly accurate virtual twins that can simulate real-world scenarios in a fraction of the time it would take with traditional methods.

One key aspect is Dassault Systèmes’ SIMULIA software, which now integrates NVIDIA CUDA-X libraries for AI-based physics behavior. These advancements enable users to predict outcomes and optimize designs more efficiently than ever before. For instance, in automotive manufacturing, this means faster development cycles without compromising on the quality or safety of vehicles.

Powering Gigawatt-Scale AI Factories

NVIDIA is also adopting Dassault Systèmes’ model-based systems engineering technologies to drive innovation at a massive scale. This partnership extends beyond just simulation tools; it includes the deployment of NVIDIA-powered AI factories on three continents via OUTSCALE, Dassault Systèmes' sovereign cloud platform.

By using this setup, companies can run complex AI workloads while ensuring data residency and security requirements are met. For example, automotive manufacturers like Lucid Motors have already begun integrating these technologies to enhance their vehicle design processes. The result is not only faster development but also more sustainable products that meet stringent environmental standards.

Real-World Applications in Action

The benefits of this collaboration extend far beyond the automotive industry. In construction, for instance, virtual twins can help architects and engineers optimize building designs based on real-world conditions before any physical structures are built. This reduces costs and minimizes errors during actual construction phases.

Similarly, in manufacturing plants, digital twin technology allows operators to simulate production lines under various scenarios, identifying bottlenecks or inefficiencies early on. These insights can then be used to refine processes and improve overall productivity without the need for extensive physical testing.