Breaching the Current Simulation Boundaries to Mark a Turning Point in Product Development

Rescale, the leading cloud high performance computing (HPC) platform for AI-accelerated modeling and simulation, has officially announced industry-first collaboration with NVIDIA to bring AI-driven, real-time simulation capabilities at the disposal of engineers and designers.

According to certain reports, the stated collaboration will effectively orchestrate integration of Rescale’s cloud-native platform with the NVIDIA Omniverse Blueprint for real-time computer-aided engineering digital twins. This it will do to set a whole new industry standard for AI-based CAE acceleration, and at the same time, it will also help in improving upon efficiency, productivity, and speed across design workflows by enabling the rapid creation and deployment of AI-powered digital twins.

More on the same would reveal how this particular development combines Rescale AI’s advanced capabilities with NVIDIA’s accelerated computing technologies -NVIDIA Modulus for pre-trained physics-based surrogate models, NVIDIA-powered application programming interfaces for connecting complex computer-aided engineering (CAE) workflows, NVIDIA NIM microservices for accelerated deployment and real-time inferencing, and NVIDIA Omniverse APIs for interactive visualization.

Making this proposition all the more attractive is how training AI models on Rescale can be done through a simple and straightforward mechanism. You see, for starters, engineers can run simulations used as training data, data which is automatically processed and structured for model training. Next up, they can use Rescale’s built-in AI training framework powered by NVIDIA Modulus before finally training and publishing the given models directly to the Rescale AI Model Library, where they are readily accessible for immediate use in simulations across teams.

“This collaboration represents a major leap forward in CAE, pushing the boundaries of what’s possible in real-time simulation,” said Joris Poort, CEO of Rescale. “Through leveraging NVIDIA’s advanced GPU technologies, CUDA-Xlibraries, Modulus, the NVIDIA Warp developer framework, NIM microservices, and Omniverse, combined with Rescale’s high performance compute cloud platform, industry-leading R&D application catalog, and suite of Rescale Data and Rescale AI capabilities, we’re enabling engineers and designers to create, test, and iterate designs faster than ever before. This real-time feedback loop empowers teams to make smarter decisions and drive innovation in product development with unprecedented efficiency.”

Talk about the benefits of Rescale-NVIDIA’s combined solution on a slightly deeper level, we begin from the potential for real-time physics simulation. In essence, GPU-accelerated computing will cut down on design iteration cycles from hours to seconds, thus enabling faster insights with each simulation cycle and reducing median time to market by more than 30%.

Next up, there is in play an interactive visualization facility, which leverages NVIDIA Omniverse API integration to help engineers visualize, modify, and iterate designs instantly, rather than having to download large result files. This alone should realize an estimated 60% uptick in productivity.

“Looking ahead, combining AI simulation with AI-enabled agents will provide real-time multi-disciplinary product development feedback, creating a unified engineering ecosystem where human ingenuity and AI come together to achieve highly optimal designs,” said Poort.

Then, we have the prospect of accessing AI-powered models. Basically, Rescale AI, powered by NVIDIA Modulus, arrives on the scene with an ability to automate model development, as well as fine-tune, and accelerate AI model training time 5x, while continuously honing model accuracy from real simulation data. These models, on their part, can be used for a variety of applications, including design optimization, predictive maintenance, solver initialization, accelerate existing simulation workflows, and more.

Rounding up highlights would be the availability of scalable cloud resources. Here, Rescale’s cloud-native platform provides the necessary scalability, and conversely, it shrinks infrastructure costs by 43% when compared to on-premises computing resources.

“Our collaboration with Rescale brings scalable cloud resources to help unlock the potential of real-time simulation in the engineering and design space,” said Tim Costa, senior director of CAE, electronic design automation, and quantum at NVIDIA. “This ability to achieve near-instantaneous feedback on design changes makes complex workflows more intuitive and accessible — marking a milestone in AI-powered engineering.”

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