AMD EPYC processors improve CPD for Mercedes-AMG F1 team

Mercedes-AMG F1 Team is using EPYC microprocessors from semiconductor company AMD to improve its computational fluid dynamics (CFD) workloads

Semiconductor AMD and the Mercedes-AMG Petronas Formula One (F1) Team today showcased how AMD EPYC processors improved aerodynamics testing capacity, contributing to the Mercedes-AMG Petronas team winning its eighth Constructors’ Championship in the 2021 racing season. By using AMD EPYC processors, the team was able to achieve a 20% performance improvement for computational fluid dynamics (CFD) workloads that were used to model and test aerodynamic flow of their F1 car. 

“We are proud to partner with the reigning Constructors’ Champions, the Mercedes-AMG Petronas Formula One Team, operating at the cutting edge of racing and technology,” said, Dan McNamara, senior vice president and general manager, Server Business Unit, AMD. “For F1 teams, having the most effective computational analysis of aerodynamics can mean the difference between winning and losing a race. With AMD EPYC processors, the Mercedes-AMG F1 team can iterate on vehicle design faster and more efficiently than their previous system.”

What will AMD’s EPYC processors enable Mercedes-AMG F1 to achieve?

By using AMD EPYC processors, the Mercedes-AMG Petronas F1 team says it is able to push the boundaries of what is possible with CFD by developing groundbreaking aerodynamics while delivering the price-performance required to meet budget regulations put in place by the Fédération Internationale de l'Automobile (FIA). Aerodynamics are some of the most complex, technical workloads among F1 teams and require advanced processors and servers to run the analyses and benchmarks. 

Furthermore, the FIA has developed an intricate framework dictating how much CFD performance and wind tunnel time F1 teams are allowed to use, in an effort to avoid giving an unfair competitive advantage to the teams with more resources. 

“AMD EPYC processors offer us a platform that delivers aerodynamic performance day after day at the highest possible level while meeting our goal of faster turnaround time for design iteration,” said Simon Williams, Head of Aero Development Software at Mercedes-AMG Petronas F1. “Incredibly, we gained a 20 percent performance improvement over our previous system which has cut our CFD workload time in half. This is a big step compared to the past one or two percent gains seen with previous systems.”

 

Share
Share

Featured Articles

AI & SD-WAN Exchange set to be key 2024 trends, expert says

Dr Thomas King, CTO of DE-CIX, one of the largest internet exchange operators, shares his technology predictions for 2024, including the future of AI

Apple to make iPhone and Android messaging easier with RCS

The tech giant says that iPhones will support the RCS messaging standard in 2024 for a smoother texting experience, having previously resisted the change

Verizon: Insight into the world’s largest telco

Coming in joint 21st on the 2023 Forbes Global 2000, which ranks the world’s largest companies, we take a deep dive into Verizon Communications

Cloud & 5G LIVE: Exploring the future of cloud computing

5G & IOT

Nokia Technology Strategy 2030: Networks must use AI

Connectivity

AI to revolutionise telcos, says Cloudera's Anthony Behan

Telecommunications