High-Performance Engineering: Forward Deployed at Aston Martin F1
This session details CoreWeave's forward-deployed engineering work with the Aston Martin F1 team, demonstrating how advanced AI and data platforms are used to gain competitive advantage in a high-stakes, data-intensive environment. The team addressed three core areas: unifying diverse data sources (Data Platform), improving aerodynamic predictions by minimizing the error between wind tunnel simulations and real-world track data (Delta-to-Map), and processing massive volumes of noisy, multi-channel radio communication (Radio Insights). The overarching theme is applying AI to move from experimental models to reliable, mission-critical production systems under extreme deadlines.
Key takeaways
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High-Stakes, Zero-Tolerance Environment
17:25
F1 is characterized by 24 races per season, meaning every single race counts towards points, making the learning curve and execution requirements significantly higher than typical corporate projects. This necessitates flawless, real-time operations across a 72-hour race weekend window.
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The Value of Forward Deployment
18:40
To understand the true pain points, the engineering team spent time not just in the office, but also at the track and in mission control, realizing that the most critical insights often come from observing operations during live race weekends.
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Data Unification is Foundational
21:40
The complexity of F1 data—ranging from slow aerodynamic simulations (hundreds of GB per run) to live, low-latency telemetry from over 100 sensors—requires a unified data platform to ensure all teams are 'singing from the same sheet.'