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Design & Simulation Software Guide 2025
In this Special Issue, Digital Engineering presents its second annual guide to design and simulation software vendors.
Special Focus Issue: Artificial Intelligence in Simulation
In this Special Focus Issue of Digital Engineering, we look at the latest trends in integrating AI and machine learning with design and simulation tools. The issue includes features on synthetic data, open-source AI for modeling, AI-powered…
NVIDIA has announced that NVIDIA Omniverse—an open computing platform for building and operating metaverse applications—now connects to scientific computing visualization software and supports new batch-rendering workloads on systems powered by NVIDIA A100 and H100 Tensor Core GPUs.
NVIDIA also introduced fully real-time scientific and industrial digital twins for the high performance computing community, enabled by NVIDIA OVX, a computing system designed to power large-scale Omniverse digital twins, and Omniverse Cloud, a software- and infrastructure-as-a-service offering.
Omniverse now supports batch workloads that AI and HPC researchers, scientists and engineers can run on their existing A100 or H100 systems—including rendering videos and images or generating synthetic 3D data.
To foster collaborative workflows for the HPC community, NVIDIA also unveiled connections to popular scientific computing tools such as Kitware’s ParaView, an application for visualization; NVIDIA IndeX for volumetric rendering; NVIDIA Modulus for developing physics-ML models; and NeuralVDB for large-scale sparse volumetric data representation.
“Today’s scientific computing workflows are extremely complex, involving enormous datasets that are impractical to move and large, global teams that use their own specialized tools,” says Dion Harris, lead product manager of accelerated computing at NVIDIA. “With new support for Omniverse on A100 and H100 systems, HPC customers can finally start to unlock legacy data silos, achieve interoperability in their complex simulation and visualization pipelines, and generate compelling visuals for their batch-rendering workflows.”
Using Omniverse and hybrid-cloud workloads, scientific computing customers can connect legacy simulation and visualization pipelines to achieve distributed, fully interactive, true real-time interaction with their models and datasets. NVIDIA customers such as Argonne National Laboratory, Lockheed Martin and Princeton Plasma Physics Laboratory are already seeing benefits of Omniverse for HPC workloads.
These new features are now supported in NVIDIA Omniverse, available for developers and enterprises. To learn more about Omniverse, watch the SC22 special address video (see above).
Sources: Press materials received from the company and additional information gleaned from the company’s website.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and…
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