AWS UKI ExecLeaders
AWS Trackside: The Power of Data
AWS PARTNERSHIP WITH FORMULA 1
A battle of the world's best drivers but also the world's most innovative engineers
By using Amazon Web Services (AWS), Formula 1 is utilising innovative technologies, such as machine learning models and high performance computing to transform the sport.
Why Formula 1 chooses AWS
We needed a technology provider that would help us innovate faster and push our organization into the future, and AWS was a clear choice to partner with. By tapping into the breadth and depth of AWS and its innovative cloud technologies we’ve been able to bring fans closer to the split-second decisions on the track, redesign our future F1 cars, help us better understand the wealth of F1 data, and run analytics and machine learning to harness the power of that data, and so much more. We’re excited about what we’ve accomplished and thrilled to see what more we can do together.
- Ross Brawn, Managing Director of Motor Sports, F1
Here’s how it works
Transforming the Sport
AWS’s broadest and deepest functionality and unmatched pace of innovation is changing how F1 collects, analyzes, and leverages data and content to make decisions. With 300 sensors on each F1 race car generating more than 1.1 million data points per second transmitted from the cars to the pit, F1 is a truly data-driven sport.
Increasing Action
on the Track
F1 and AWS are using data to improve the performance of both vehicle and driver. By using AWS high performance computing, F1 was able to run aerodynamic simulations to develop its next generation car 70% faster than ever before, creating a car that reduces downforce loss from 50% to 15%. This dramatic reduction offers the chasing driver a higher chance of overtaking and in doing so offers more wheel-to-wheel action for the fans. This next generation car will be introduced in the 2022 season. F1 is also exploring the use of machine learning in its simulation process, giving the organization new insights and into more than 550 million data points collected through more than 5,000 single and multicar simulations.
Engaging and
Delighting Fans
The fan experience is changing during a race weekend. With AWS, F1 has been able to turn millions of data points transmitted from cars and trackside into an engaging fan experience through its F1 Insights. F1 uses 70 years of historical race data stored on Amazon S3, analyzed by complex models and shared with fans as rich data insights that reveal the nuances of split-second decision making, and highlight performances through these advanced stats.
Fastest Driver
Using AWS machine learning technology this insight provides an objective, data-driven ranking of all F1 drivers from 1983 through present day, by removing the F1 car differential from the equation to determine an age-old question: Who is the fastest driver? Data scientists from F1 and the Amazon Machine Learning (ML) Solutions Lab have for the first time in history created a cross-era, objective, complex, data-driven ranking of driver speed.
AWS powers
F1’s Data Journey
When it comes to F1 racing, there’s no cutting corners—but with the power of AWS, data-driven insights make it easier to inform split-second decisions that lead to victory. Learn how AWS powers F1 to manage their data architecture—getting data where it needs to go and driving key decisions at record speed.
Learn more about the partnership
Learn More About Undercut Threat from the Expert
Rob Smedley, Chief Technical Engineer - One of the most fascinating parts of an F1 Grand Prix race is when two teams are locked in battle, bumper to tail and just about to enter the pit stop window (the time of the race when it is predicted to make pit stops for a change of tyres). When the cars are travelling in close proximity, it is often a case of who blinks first and as we've seen in so many occasions, the brave can very often vanquish less decisive opponent.
AWS Partnerships
Connect and learn more about partnerships with AWS in the UK and Ireland.