Rune Aero has revolutionized its aircraft development process using an interactive virtual wind tunnel fueled by AI physics, achieving an 80% reduction in early design costs while doubling payload capacity and reducing fuel consumption by 50%.
Revolutionary digital twins technology combines cloud clouds Nvidia cuda-x-Aly accelerated CFDCs with a Nvidia Omverse Plan Computer assisted engineering twins in real time. In the end, engineers can instantly observe the aerodynamic effects when they modify conceptions. This transformative approach compressed which traditionally required months of iterative physical tests in a process of continuous optimization in real time for the start of autonomous freight aircraft.
The company made this announcement to the GTC 2025 from NVIDIA in San Jose, California.
Physical AI transforms the economy of aircraft with real -time design optimization
Founded in 2023, Rune Aero is developing a sustainable and autonomous plane for the market for air -growing air cargoes. As a new startup, they adopt the AI of physics, a modern approach to the rapid exploration of design. The adoption by Rune Aero of the virtual blower shows how aerospace design engineers can quickly analyze many aircraft design prototypes, iterate conceptions and visualize the impact in real time.
By carrying out virtual blower tests earlier in the design process, Rune Aero considerably reduces technical risks and future costs compared to understanding only of conventional physical blower tests.
The company has said that the results are transformers: 70% reduction in operating costs for freight operators thanks to optimized aerodynamics and energy efficiency, double -legged payload and fuel consumption of 50%. For operators, this results in two -digit profitability increases that fundamentally change the economy of air freight.
Luminary Cloud has developed the interactive virtual blower by combining its native GPU CFD solvents by taking advantage of Nvidia Cuda-X libraries, the physicsnemo AI training framework and omnivers’ visualization API to create digital twin environments that provide immediate design feedback. This technological battery makes other digital twin environments possible, with the possibility of incorporating real world data into the physics physics platform.
“AI physics models are essential for the analysis and design of interactive engineering in real time, but require enormous amounts of data,” Tim Costa, Senior Director CAE EDA and Quantum told Nvidia, in a press release. “The accelerated CFD solver of Luminary Cloud allows customers to generate high fidelity data necessary to form the underlying AI physics model in Nvidia Physicsnemo in a few hours.”
“It is exciting to work with aerospace companies like Aero Rune which are ready to adopt new design optimization techniques.
“At the early stages of planes development, rapid, precise and profitable design feedback is essential. The Luminary virtual blower allows Rune Aero to test the configurations earlier in the process, reducing our first development costs by more than 80% compared to traditional breaths and allow more quickly, Smarter Design Decisions, “said Nadine Auda, Cofinger of Rune Aero, in a declaration. “The optimized configuration of rune aircraft resulting from these tests improves the aerodynamic lifting / dredging ratio, combined with advanced propulsion, this double the payload and the beach while reducing the fuel burn by 50%, which ultimately reduces operating costs for our customers.”
Luminary Cloud and Ntop has also announced a new integration with Nvidia Physicsnemo which reduces the optimization of AI design based on physics of weeks or months a few hours. By transparently connecting the generation of parametric geometry of NTop, the Nvidia Physicsnemo simulation and simulation management platform via NIM microservices, engineers can now create and analyze hundreds of design variations.
