Rune Aero Nvidia GPUS is used to reduce the cost of virtual wind tunnels by 80 %

Run Aero revolutionized the process of developing aircraft using an interactive virtual wind tunnel supported by physics, which achieves a decrease of 80 % in early design costs while doubling the net load capacity and reduced fuel consumption by 50 %.

The leading digital technology brings together the shiny cloud Nvidia Cuda-X-CFD simulation with acceleration with Nvidia Omniver Planned Real time geometric geometry geometry. Ultimately, engineers can monitor the dynamic dynamic effects immediately while adjusting the designs. This transformational approach has pressed the traditional months of repetitive physical tests in the actual improvement process to start operating an independent charging plane.

The company announced this at Nvidia’s GTC 2025 in San Jose, California.

Artificial intelligence physics transforms aircraft economics while improving the design in actual time

Run Aero was founded in 2023, and the development of a sustainable and independent plane for the average air freight market. As a new startup, they adopt artificial intelligence physics, a modern approach to exploring rapid design. Run Aero’s dependence on virtual wind tunnel explains how aviation design engineers analyze many initial models for aircraft design, repetition of designs, and visualize actual time effect.

By conducting a virtual wind tunnel test earlier in the design process, Rune Aero significantly reduces technical risks and future costs compared to relying only on traditional material wind tunnel tests.

The company said the results are transforming: a 70 % decrease in operating costs for charging operators through improved air dynamics, fuel efficiency, double load capacity, and 50 % of fuel consumption. For operators, this is translated into a two -digit profitability, which mainly changes the economics of air freight.

The Cloud Luminary has developed an interactive virtual wind tunnel by combining GPU-Nits who benefit from NVIDIA Cuda-X libraries with the Physicsnemo AI training framework and the omiverse visualization applications interface to create dual digital bodies that offer immediate design notes. This technological stack makes other digital twin environments possible, with the ability to integrate data into the real world in the AI ​​Physics platform.

“The models of artificial intelligence physics are necessary for the analysis and design of interactive engineering in real time, but it requires huge amounts of data,” Tim Costa, chief director Koy Eda and Knutum in Nafidia. “The accelerated CFD Solver allows Luminary Cloud to generate high -resolution data needed to train the basic artificial intelligence physics model in NVIDIA Physicsnemo within hours.”

“It is interesting to work with airlines such as Rune Aero ready to adopt new design techniques by running a large database of simulation and creating AI physics models, Run Aero engineers can access a possible design faster to solve important important air transport problems,” said Juan J.

“In the early stages of the development of aircraft, obtaining reactions quickly, accurately and effective in terms of cost is necessary.” The formation of improved aircraft from Ron resulting from these tests improves the rate of lifting to dynamic clouds, along with advanced payment, this beneficial marital load and their scope with a 50 % reduction of fuel, which ultimately reduces operating costs for our customers. ”

Cloud Luminary Cloud and NTOP today also announced a new integration with NVIDIA Physicsnemo, which reduces the improvement of physics -based artificial intelligence design from weeks or months to only hours. By connecting the NTOP border engineering generation smoothly, the GPU-NTOP simulation platform, and NVIDIA Physicsnemo via NIM Microservices, engineers can now create and analyze hundreds of design forms in one day-a process previously taken from voltage to months of the more periodic voltage via deficiency.