Ansys Announces Agreement to Offer Access to NVIDIA Omniverse Technology from within Simulation Solutions
Integration of Omniverse into
Key Highlights
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Ansys integrates NVIDIA Omniverse capabilities directly into its products, starting with autonomy and computational fluid dynamics (CFD) solutions, delivering simplified data preparation, interoperability, and access to the Omniverse ecosystem - The agreement accelerates physical AI development, enhances digital twin capabilities, and delivers immersive visualizations in a virtual environment, accelerating innovation across industries
The agreement ensures seamless interoperability between diverse computer-aided engineering (CAE) tools, enabling a unified and efficient workflow — critical to large CFD applications. Visualizing fluid dynamics in physically based digital environments enables engineers to analyze complex datasets more intuitively, resulting in smarter, faster design optimization for even the most challenging engineering tasks.
In addition, the integration empowers engineers with high-fidelity outputs, making it easier to develop, train, test, and validate autonomous systems with greater speed and confidence. By automating scenario generation and exploration, it ensures these autonomous systems are continuously validated for safety, precision, efficiency, and reliability.
"Product development processes are only getting more complex, so modern teams need a virtual environment that allows them to simulate, visualize, iterate, and collaborate," said
Moreover, PyAnsys, a family of Python packages, enables users to customize and automate simulations within their own applications built on NVIDIA Omniverse. One illustrative example highlighting this joint work with NVIDIA is PyAnsys-Heart, a digital twin of the human heart that unlocks transformative simulation insights through an intuitive speech-to-text interface requiring minimal engineering expertise.
"To address the complexity of modern engineering challenges, industries require precise physical AI models, highly accurate digital twins, accessible high-resolution simulation tools, and physics-accurate virtual environments to solve real-world problems and enable reliable performance predictions," said Rev Lebaredian, vice president of Omniverse and simulation at NVIDIA. "Combining the predictive power of
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