AWS GameDay: F1 League
AWS GameDay: Formula 1 at re: Invent:
- Las Vegas, US, November 29th | 6:00 PM - 9:00 PM (PDT) | Level 2 | South | Mandalay Bay Ballroom F
- AWS re: Invent registration is required to join the GameDay
- All participants must bring their own laptops
About AWS Gameday: F1 League
Upcoming GameDay events
| AWS Summit | Date | Registration |
| Johannesburg | 8/29/2024 | Learn more |
AWS GameDays @ re:Invent
27th Nov – 30th Nov, 2023
Las Vegas
| AWS GameDay: LoL Esports Edition Taipei | 3 Aug | AWS Summit Taipei | Click here to register >> |
| AWS GameDay: LOL Esports Edition at CEDEC Japan | 24-25 Aug | Yokohama | Learn More >> |
| AWS GameDay: F1 League Mexico city | 30 Aug | AWS Summit Mexico City | Click here to register >> |
| AWS GameDays @ re:Invent | 27 Nov – 1 Dec | Las Vegas | Click here to register >> |
About the AWS x F1 partnership
- Since 2018, F1 and AWS have innovated together through the use of AWS machine learning (ML), launching over 20 data-driven F1 Insights on live TV that offer unique race strategy, car performance, and competitor insights to fans.
- Every F1 car contains 300 sensors generating 1.1 million telemetry data points per second transmitted from the cars to the pits.
- Using Amazon SageMaker, F1’s data scientists are training deep-learning models to extract critical race performance statistics, make race predictions, and give fans insight into the split-second decisions and strategies adopted by teams and drivers.
- F1 worked with AWS to run aerodynamic simulations that contributed to the 2022 car design and more of the wheel-to-wheel action that fans love.
- AWS is supporting Formula 1 as it works towards being Net Zero Carbon by 2030, exploring opportunities for sustainability.
- Learn more about F1 and AWS partnership here.
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.
AWS powers F1 Insight: Close to the Wall
Close to the Wall provides fans and broadcasters a unique view of exactly how close an F1 car gets to the wall at some of the Championship’s most exciting corners. F1 calculates the distance from the wall of the closest part of an F1 car using special cameras and a fusion of deep neural network and computer vision algorithms. This is done using a four-step process of frame acquisition, car’s movement detection, trajectory estimation, and an output of the algorithm. Click here to learn more
Data is F1’s differential
AWS powers F1 to peel past the competition with data. From the Next Gen car to speeding around corners, posting faster lap times, and revolutionizing the sport of racing.
AWS powers F1 Insights
The new ‘Undercut Threat’ graphic launching this weekend, the latest in the F1 Insights series powered by AWS, will provide fans and broadcasters an opportunity to understand which cars are at threat from an ‘undercut’ i.e. if the car behind them pits at the end of the lap, will they lose a position to this car, or more positively which cars have the possibility of making an undercut.
AWS powers F1 Insights
The new ‘Pitlane Performance’ graphic launching this weekend, the latest in the F1 Insights series powered by AWS, will provide fans and broadcasters an opportunity to dissect the whole of the pit stop event, to understand the time being lost and found from the moment the driver dives into the pit lane and exits the other end.
AWS powers
F1 Insights
"Start Analysis" debuted at the Turkish Grand Prix in October and is the latest in the F1 Insights series powered by AWS. It provides fans and broadcasters with an opportunity to see the data behind each driver's attempt at a perfect start in comparison to their closest rivals.
AWS powers the F1 Media Processing Framework
Discover how AWS architected a custom remedy for managing the Formula 1 media assets of years past, and years to come, using the Media2Cloud (M2C) reference implementation by AWS Solutions.
AWS GameDay: F1 League
at AWS Summits Worldwide
"Very challenging tasks to be completed. Learned something new today.; "
"Good learning experience on usage of AWS; "
"I learnt how different AWS services integrated with each other; "
"I am not a developer and not familiar with anything of AWS (we’re in process of migration) But it was really fun to learn stuff by doing and deep diving We were expecting to do some sim racing actually 😅;"
"My first interaction with Amazon web services completely, but still managed some tasks, so happily that i learnt something :); "
"Great environment, learning new aws services; "
"Really fun to work with new stuff in AWS and see other ways to do stuff. But mostly how the aws console interfaced worked instead of just using CDK or similar; "
.cb8e01dfb016a33adbcec0511e92e328ee231269.jpg "AWS Summit London")
Upcoming GameDay events (hidden)
AWS GameDay: LOL Esports Edition at CEDEC Japan
24th -25th Aug
Yokohama
AWS GameDay: F1 League Mexico city
30th Aug
AWS Summit Mexico City
AWS GameDays @ re:Invent
27th Nov – 30th Nov
Las Vegas
| AWS GameDay: LoL Esports Edition Taipei | 3 Aug | AWS Summit Taipei | Click here to register >> |
| AWS GameDay: LOL Esports Edition at CEDEC Japan | 24-25 Aug | Yokohama | Learn More >> |
| AWS GameDay: F1 League Mexico city | 30 Aug | AWS Summit Mexico City | Click here to register >> |
| AWS GameDays @ re:Invent | 27 Nov – 1 Dec | Las Vegas | Click here to register >> |
Posts from our influencers
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AWS GameDay: F1 at re:Invent
Getting ready for AWS GameDays
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Step 1: Get Started with AWS
Try out the 10-minute tutorials and free digital training sections (S3, EC2, Systems Manager, Lambda)
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Step 2: AWS Architecture
Learn how to build a winning architecture on AWS.
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GameDay Essentials | Episode 4: Decoupling (50:54) -
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