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NVIDIA Blackwell Accelerates Computer-Aided Engineering Software by Orders of Magnitude for Real-Time Digital Twins

NVIDIA Blackwell Accelerates Computer-Aided Engineering Software by Orders of Magnitude for Real-Time Digital Twins

Leading Software Providers Including Ansys, Altair, Cadence, Siemens and Synopsys Adopt NVIDIA Blackwell

SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced that leading computer-aided engineering (CAE) software vendors, including Ansys, Altair, , Siemens and , are accelerating their simulation tools by up to 50x with the platform.

With such accelerated software, along with libraries and blueprints to further optimize performance, industries such as automotive, aerospace, energy, manufacturing and life sciences can significantly reduce product development time, cut costs and increase design accuracy while maintaining energy efficiency.

“CUDA-accelerated physical simulation on NVIDIA Blackwell has enhanced real-time digital twins and is reimagining the entire engineering process,” said Jensen Huang, founder and CEO of NVIDIA. “The day is coming when virtually all products will be created and brought to life as a digital twin long before it is realized physically.”

Ecosystem Support for NVIDIA Blackwell

Software providers can help their customers develop digital twins with real-time interactivity and now accelerate them with NVIDIA Blackwell technologies.

The growing ecosystem integrating Blackwell into its software includes Altair, Ansys, BeyondMath, Cadence, COMSOL, ENGYS, Flexcompute, Hexagon, , M-Star, NAVASTO, an Autodesk company, Neural Concept, nTop, Rescale, Siemens, Simscale, Synopsys and Volcano Platforms.

Cadence is using NVIDIA Grace Blackwell-accelerated systems to help solve one of computational fluid dynamics’ biggest challenges — the simulation of an entire aircraft during takeoff and landing. Using the Cadence Fidelity CFD solver, Cadence successfully ran multibillion cell simulations on a single NVIDIA GB200 NVL72 server in under 24 hours, which would have previously required a CPU cluster with hundreds of thousands of cores and several days to complete.

This breakthrough will help the aerospace industry move toward designing safer, more efficient aircrafts while reducing the amount of expensive wind-tunnel testing required, speeding time to market.

Anirudh Devgan, president and CEO of Cadence, said, “NVIDIA Blackwell’s acceleration of the Cadence.AI portfolio delivers increased productivity and quality of results for intelligent system design — reducing engineering tasks that took hours to minutes and unlocking simulations not possible before. Our collaboration with NVIDIA drives innovation across semiconductors, data centers, physical AI and sciences.”

Sassine Ghazi, president and CEO of Synopsys, said, “At GTC, we’re unveiling the latest performance results observed across our leading portfolio when optimizing Synopsys solutions for NVIDIA Blackwell to accelerate computationally intensive chip design workflows. Synopsys technology is mission-critical to the productivity and capabilities of engineering teams, from silicon to systems. By harnessing the power of NVIDIA accelerated computing, we can help customers unlock new levels of performance and deliver their innovations even faster.”

Ajei Gopal, president and CEO of Ansys, said, “The close collaboration between Ansys and NVIDIA is accelerating innovation at an unprecedented pace. By harnessing the computational performance of NVIDIA Blackwell GPUs, we at Ansys are empowering engineers at Volvo Cars to tackle the most complex computational fluid dynamics challenges with exceptional speed and accuracy — enabling more optimization studies and delivering more performant vehicles.”

James Scapa, founder and CEO of Altair, said, “The NVIDIA Blackwell platform’s computing power, combined with Altair’s cutting-edge simulation tools, gives users transformative capabilities. This combination makes GPU-based simulations up to 1.6x faster compared with the previous generation, helping engineers rapidly solve design challenges and giving industries the power to create safer, more sustainable products through real-time digital twins and physics-informed AI.”

Roland Busch, president and CEO of Siemens, said, “The combination of NVIDIA’s groundbreaking Blackwell architecture with Siemens’ physics-based digital twins will enable engineers to drastically reduce development times and costs through using photo-realistic, interactive digital twins. This collaboration will allow us to help customers like BMW innovate faster, optimize processes and achieve remarkable levels of efficiency in design and manufacturing.”

Rescale CAE Hub With NVIDIA Blackwell

Rescale’s newly launched enables customers to streamline their access to NVIDIA technologies and CUDA®-accelerated software developed by leading independent software vendors. Rescale CAE Hub provides flexible, high-performance computing and AI technologies in the cloud powered by NVIDIA GPUs and .

, the company building the world’s fastest airliner, will use the NVIDIA Omniverse Blueprint for real-time digital twins and Blackwell-accelerated CFD solvers on Rescale CAE Hub to design and optimize its new supersonic passenger jet.

The company’s product development cycle, which is almost entirely simulation-driven, will use the Rescale platform accelerated by Blackwell GPUs to test different flight conditions and refine requirements in a continuous loop with simulation.

The adoption of the Rescale CAE Hub powered by Blackwell GPUs expands Boom Supersonic’s collaboration with NVIDIA. Through the ™ framework and the Rescale AI Physics platform, Boom Supersonic can unlock 4x more design explorations for its supersonic , speeding iteration to improve performance and time to market.

NVIDIA Omniverse Blueprint Now Broadly Accessible for Enterprises

The , now generally available, is also part of the Rescale CAE Hub. The blueprint brings together , NVIDIA PhysicsNeMo AI and the ™ platform — and is also adding the first for external aerodynamics, the study of how air moves around objects.

Learn more by watching the and from NVIDIA and industry leaders at the show, which runs through March 21.

About NVIDIA

(NASDAQ: NVDA) is the world leader in accelerated computing.

For further information, contact:

Steve Gartner

NVIDIA Corporation



Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting or offering NVIDIA’s products and technologies and the benefits and impact thereof; the day coming when products will be created and brought to life as a digital twin long before it is realized physically; and real-time digital twins revolutionizing the physical industries are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than 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 enhancements to our existing product and technologies; market acceptance of our products or our partners' products; 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 the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. 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 future events or circumstances.

© 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, CUDA-X, DGX, NVIDIA NIM, PhysicsNeMo, and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

A photo accompanying this announcement is available at



EN
18/03/2025

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