NVIDIA-Backed Rescale secures $115 Mn in Series D Round

Rescale, the U.S.-based engineering simulation software startup, announced a Series D funding round of $115 million on Monday. Notable participants in the investment included NVIDIA, Applied Materials, Y Combinator, Hitachi, and the University of Michigan, among several other companies. 

In the announcement, Rescale stated that the latest funding round will ‘expedite’ the growth of its engineering platform for advanced computing, intelligent data, and applied AI. 

The company will establish a unified data framework and digital thread for all modeling and simulation workflows and introduce AI-driven search, tagging, and automation features. 

Furthermore, Rescale also stated that it will enable more organisations to automate the use of AI-enabled physics tools and libraries, which result in a ‘1000x speed improvements’ in design validation. 

“Today’s leading innovators face bottlenecks in limited compute, siloed data, and complexity of AI deployment. Rescale removes these barriers – empowering every engineer and scientist to accelerate discovery, scale impact, and shape the future faster,” said Joris Poort, CEO and founder of Rescale. 

Rescale collaborates with ‘hundreds’ of enterprise customers, including prominent names such as Arm, General Motors Motorsports, Samsung, and the U.S. Department of Defense. It facilitates various use cases across sectors like drug discovery, automotive safety, and aircraft aerodynamics. 

Some of the company’s early investors include Sam Altman (CEO of OpenAI) and Jeff Bezos (former CEO of Amazon). With the latest round, the company has raised over $260 million. 

Last month, Rescale announced the integration of NVIDIA’s DGX Cloud into its network of global cloud service providers. This allows customers to access NVIDIA’s GPU infrastructure, including the NVIDIA GB200 NVL72 platform, powered by NVIDIA’s Blackwell architecture. 

“Through this collaboration, engineers and scientists can dramatically accelerate their simulation workflows – for example, leading high-performance CFD [computational fluid dynamics] codes deliver up to 10x–50x faster results when run on GPU Blackwell versus traditional architectures,” said Rescale in a blog post.