Formula 1 has unveiled its new race automobile design for the 2022 season, put along with greater than just a little assist from cloud behemoth AWS.
According to the game’s organizing physique, the brand new design, revealed forward of this weekend’s British Grand Prix, is constructed particularly to encourage extra on-track motion, permitting drivers to race wheel-to-wheel with out incurring a harmful lack of downforce.
The 2022-era vehicles will characteristic a brand new bodywork design that features a re-worked entrance wing and rear finish, in addition to underfloor tunnels, all of which reduces the turbulent airflow created and due to this fact will increase the downforce utilized to the automobile in pursuit.
“This is the start of a new journey, new philosophy and new culture, where the raceability of these cars is going to be vital to the future of Formula 1,” mentioned Ross Brawn, Managing Director at Formula 1 (F1).
“We want to entertain and engage the fans, we want new fans to come into the sport and we want to respect our existing fans so they remain excited about the pinnacle of motorsport.”
Asked for an opinion on the brand new automobile, the drivers have been largely excited by the design, though some expressed a way of trepidation about having to acclimatize to the brand new machine.
“Getting used to a new era of car in 2022 will be a serious challenge,” mentioned Lewis Hamilton, reigning Formula 1 World Driver Champion. “But if it enables us to follow [other drivers] and race like planned, it will be amazing for the fans and the sport.”
Harnessing AWS cloud
To architect the brand new automobile for 2022, F1 was compelled to shift away from its on-premises infrastructure, which it has beforehand used for Computational Fluid Dynamics (CFD) and wind tunnel testing to enhance the aerodynamics of its vehicles.
This yr, the group moved its testing setting to a cloud-based excessive efficiency computing platform (HPC) from AWS, which allowed engineers to run air turbulence simulations at a a lot quicker price.
In whole, F1 utilized 1,150 AWS compute cores to simulate 550 million information factors that mirror the affect of turbulence on a chasing race automobile. This degree of scalability allowed the group to cut back time spent on simulations by 80%, from 60 hours right down to 12.
With the assistance of cloud cases powered by new high-performance AWS Graviton2 processors, F1 says it was additionally in a position to minimize the prices related to simulation by 30%, with the potential for even larger financial savings in future.
“Right in the beginning of this project, our main aim was to get cars that race closer together,” mentioned Pat Symonds, F1 CTO. “Running in the cloud removed all the barriers of time and computing capacity and allowed us to run what we want, when we want and how we want it.”
Going ahead, the mixture of decrease prices and larger speeds ought to, in concept, open the door to larger enhancements between every version of the F1 automobile, translating to extra intense, faster-paced and safer racing.