These simulations looked at cars in common racing situations and the results have driven the changes to the proposed 2021 car design. To reduce this downforce loss, F1 used AWS to look closely at how the aerodynamics of cars interact when racing in close proximity. Currently, a car running one car length behind another loses up to 50 percent of its downforce. The current generation of cars suffer a loss of downforce when they are running close to one another, reducing a drivers’ ability to sustain close racing and increasing the difficulty of overtaking. For Formula 1 cars, the downforce generated by their aerodynamics is the single largest performance differentiator, helping a car travel faster through corners. Increasing excitement for fans, by enabling closer, wheel-to-wheel, racing, was at the core of the project. The project ran for six months using Amazon Elastic Compute Cloud (Amazon EC2) c5n instances and delivered performance equivalent to that of a supercomputer, for a small fraction of the cost. Using the unmatched scalability of AWS, Formula 1 was able to reduce the average time to run simulations by 70 percent – from 60 hours down to 18. ![]() The CFD project used over 1,150 compute cores to run detailed simulations comprising of over 550 million data points that model the impact of one car’s aerodynamic wake on another. ![]() (AWS), an company (NASDAQ: AMZN), and Formula One Group (Formula 1) have completed a Computational Fluid Dynamics (CFD) project to simulate the aerodynamics of cars while racing, carrying out detailed simulations that have resulted in the car design for the 2021 racing season. SEATTLE – Decem– Amazon Web Services, Inc.
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