For decades, the idea of building, testing, and iterating on chassis and race car design has been as much about time as it has been about speed. Every adjustment – from rear wing to diffusers to the simplest flap – requires simulation, validation, and iteration over weeks to years. The process is precise, but it is, frankly, slow. In a sport where milliseconds matter, the time spent developing is just as critical as the time spent on the track. That is the gap that IBM and Dallara are aiming to close. In a newly announced partnership, the two companies are developing physics-based AI models designed to accelerate aerodynamic design. The goal? To reduce simulation times from hours to seconds, while still maintaining the accuracy and safety that engineers and teams rely on. From Hours to Seconds – Without Losing Precision At the center of modern car development in racing is computational fluid dynamics, the system used to simulate how air moves around in a car.…