Luminary Cloud and nTop Streamline AI Physics and Cut Engineering Design Time from Months to Hours with NVIDIA Technology
Achieved with the new integration of nTop’s rapid geometry iteration, Luminary’s scalable engineering simulation and NVIDIA PhysicsNeMo model training
SAN MATEO, Calif., March 18, 2025 /PRNewswire/ — Luminary Cloud and nTop today announced a new integration with NVIDIA PhysicsNeMo that reduces physics-based AI design optimization from weeks or months to mere hours. By seamlessly connecting nTop’s parametric geometry generation, Luminary’s GPU-native simulation and simulation management platform, and NVIDIA PhysicsNeMo via NIM microservices, engineers can now create and analyze hundreds of design variations in a single day—a process that previously took weeks to months of manual effort across disconnected systems.
From Months to Hours: Physics AI Breakthroughs Transforms Product Design
Physics AI has reached a pivotal inflection point with the integration of Luminary Cloud and nTop, eliminating major barriers to widespread adoption. This breakthrough creates the first automated pipeline for physics AI-driven engineering design optimization.
Engineering teams have long relied on computational simulation to validate designs before physical prototyping. However, truly optimizing products requires exploring thousands of design variations—a process that was prohibitively time-consuming until now.
The new integrated solution combines three critical technologies: nTop’s parametric geometry engine generates complex design variations in seconds; then Luminary Cloud’s GPU-native platform runs hundreds of high-fidelity simulations quickly and in parallel; finally NVIDIA PhysicsNeMo, AI physics framework, uses the data to create predictive models. The result is a seamless workflow that compresses what once took weeks into hours.
Juan J. Alonso, CTO and co-founder of Luminary Cloud, said:
The use of cloud-native platforms and modern APIs from nTop and Luminary enable the generation of ensembles of simulations and vast amounts of data that are easy to curate, store, and consume for physics AI model training in less than a day,
“Without the ability to seamlessly manage the data we rely on, even the most sophisticated companies today are unable to deploy Physics AI models as quickly as required.”
Tim Costa, senior director CAE EDA and Quantum at NVIDIA, said:
The integration of accelerated computing with nTop’s design software and Luminary Cloud’s CAE platform will enable a seismic shift in how products are developed,
“This combination will accelerate product development and help set new benchmarks in the industry.”
Engineers can now define design parameters, automatically generate and simulate hundreds of variations, and leverage AI to predict optimal configurations—all in an integrated workflow without manual file transfers or specialized expertise. The system shows potential for dramatic performance improvements across aerospace, automotive, and consumer product applications. The first joint demonstration between nTop and Luminary in particular shows the optimization of lift and drag characteristics of flying wing configurations.
Unlocking real-time design optimization opportunities
This collaboration marks Luminary’s first native, API-based integration with a geometry engine to ingest and simulate many design iterations and represents a fundamental shift in the development of AI models for design optimization, democratizing both access to Physics AI for engineering teams of all sizes and the way simulation-based design is conducted.
Brad Rothenberg, CEO and founder at nTop, said:
Physics simulation has long been a critical bottleneck in real-time design optimization.
“The integration between Luminary and nTop, powered by NVIDIA hardware, brings us significantly closer to solving this challenge. Through Luminary’s API, we can seamlessly push nTop geometries to Luminary for physics calculations and automatically return results to nTop in a robust, continuous loop.This makes it now possible, and actually easy, to train up physics-based AI models used to accelerate performance predictions – we’re now closer than ever to real-time design optimization.”
Now anyone can adopt Physics AI on their own
Key benefits of an automated Physics AI pipeline for engineers:
- Easy setup. The robust and flexible APIs from nTop, Luminary, and NVIDIA allow for bi-directional connections between geometry iteration, engineering simulation, and Physics AI model training within a single workflow.
- Scale design exploration. NVIDIA CUDA software platform for high performance computing enables nTop’s geometry iteration speed and Luminary’s simulation scale which are foundational to scale up the design space.
- Rapidly optimize performance. Using NVIDIA PhysicsNeMo AI, coupled with NVIDIA Omniverse technologies, end users can visualize and interact with a physically-based digital twin to identify an optimal solution within minutes or hours.
To see a demo of the automated Physics AI pipeline and learn more about how it works, visit the nTop and Luminary Cloud booths at NVIDIA GTC.
Experience Luminary Cloud by signing up for a free-trial at luminarycloud.com
READ the latest news shaping the Nvidia market at Newsvidia
Luminary Cloud and nTop Streamline AI Physics and Cut Engineering Design Time from Months to Hours with NVIDIA Technology, source
