3D simulation and collaboration platform now supports NVIDIA A100 and H100 systems; Ecosystem Expands to HPC with Connections to NVIDIA Modulus, NeuralVDB and IndeX and Kitware’s ParaView to Accelerate Discovery at Million-X Scale
Princeton Plasma Physics Laboratory uses NVIDIA Omniverse to model fusion devices and control systems
DALLAS, Nov. 14, 2022 (GLOBE NEWSWIRE) — SC22 — NVIDIA today announced that NVIDIA Omniverse™ – an open computing platform for building and operating metaverse applications – now connects to leading scientific computing visualization software and supports new batch rendering workloads on systems powered by NVIDIA A100 and H100 Tensor Core GPUs.
NVIDIA has also introduced fully real-time scientific and industrial applications digital twins for the high performance computing community, thanks to NVIDIA OVX™, a computing system designed to power large-scale Omniverse digital twins, and omniverse clouda software and infrastructure as a service offer.
Omniverse now supports batch workloads that AI and HPC researchers, scientists, and engineers can run on their existing A100 or H100 systems, including video and image rendering or generating synthetic 3D data.
To foster more seamless collaborative workflows for the HPC community, NVIDIA also unveiled connections to popular scientific computing tools such as Kitware’s ParaViewa visualization application; NVIDIA IndeX® for volumetric rendering; NVIDIA module to develop physics-ML models; and NeuralVDB for large-scale sparse volumetric data representation.
“Today’s scientific computing workflows are extremely complex, involving huge datasets that are difficult to move and large, global teams using their own specialized tools,” said Dion Harris, chief main product of accelerated computing at NVIDIA. “With new Omniverse support on the A100 and H100 systems, HPC customers can finally begin to unlock legacy data silos, achieve interoperability in their complex simulation and visualization pipelines, and generate visuals convincing for their batch rendering workflows.”
Using Omniverse and hybrid cloud workloads, scientific computing customers can connect legacy simulation and visualization pipelines to achieve true distributed, fully interactive, 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 the benefits of Omniverse for HPC workloads.
World Science Leaders Support Omniverse
Argonne National Laboratory is using NVIDIA Omniverse on its Polaris A100-powered supercomputer to connect its legacy visualization tools as a first step in developing the foundations for future digital twins.
“Visualization workflows at Argonne National Laboratory are becoming increasingly complex – from managing terabytes of cosmology data to photorealistic renderings of technical devices – and these collaborative projects involve teams of scientists, engineers and artists all using highly specialized tools,” said Michael Papka, deputy. associate lab director and director of the Argonne Leadership Computing Facility. “Omniverse homogenizes these complex workflows, retains the expertise of established tools, and opens the possibility for entirely new workflows, including the creation of digital twins.”
Princeton Plasma Physics Laboratory (PPPL), the U.S. Department of Energy’s national laboratory for plasma physics and fusion science, uses Omniverse to connect and accelerate state-of-the-art real-time synthetic HPC simulators to model devices of fusion and control systems, and ultimately improve the operation of the experiment towards a new commercially viable clean energy source.
“Securing clean energy is a critical goal for scientists and research engineers, as well as a major target for government organizations,” said William Tang, senior research physicist at PPPL and affiliate professor at the Center for Statistics and Machine Learning from Princeton University. “A fully live, truly interactive scientific digital twin of a fusion device that enables real-time Omniverse-based simulation workflows will open the doors to new capabilities to generate clean energy for a better future. “
Align with NVIDIA Earth-2 initiative to accelerate climate research, aerospace leader Lockheed Martin recently began using NVIDIA Omniverse to provide the U.S. National Oceanic and Atmospheric Administration (NOAA) with better awareness of the global environmental situation and to develop an interactive climate research pipeline.
“At Lockheed Martin, we routinely use digital twins and artificial intelligence to provide our government customers with the clearest, most current situational picture and actionable information for their important missions,” said Matt Ross, chief executive. principal of the program at Lockheed Martin Space. “We are excited to be able to use our technology experience to collaborate with NVIDIA on this Earth Observation Digital Twin project, where we will merge an enormous amount of satellite and ground-based sensor data to provide NOAA with a global visualization of their own important missionary space.
These new features are now supported in NVIDIA Omniverse, available for developers and companies. To learn more about Omniversewatch the SC22 special address.
Since its creation in 1993, NVIDIA (NASDAQ: NVDA) pioneered accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, sparked the era of modern AI, and fueled the creation of the metaverse. NVIDIA is now a comprehensive computing company with industry-shaping data center-scale offerings. More information at https://nvidianews.nvidia.com/.
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Certain statements contained in this press release, including, but not limited to, statements regarding: the benefits, impact, performance, features, and availability of our products, partnerships, and technologies, including GPUs NVIDIA Omniverse, NVIDIA A100 and H100 Tensor Core, NVIDIA OVX, Omniverse Cloud, NVIDIA Modulus, NeuralVDB and Earth-2; Fostering more seamless collaborative workflows for the HPC community through connections to scientific computing tools, HPC customers unlock legacy data silos, realize interoperability in simulation and visualization pipelines, and generate visuals for batch rendering workflows, customers connecting legacy simulation and visualization pipelines, Omniverse being used to develop the foundations of future digital twins, and Omniverse opening the doors to clean energy are forward-looking statements subject to risk and uncertainties that could cause results to differ materially from expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or improvements to our existing products and technologies; market acceptance of our products or the products of our partners; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in NVIDIA’s most recent reports that NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and its quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available free of charge from NVIDIA. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect new events or circumstances. future.
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