Details CoreWeave AI partnership enabling trackside data insights
Aston Martin says CoreWeave infrastructure and models are used daily to close the gap between simulation and on‑track behaviour by analysing telemetry, historical patterns and noisy radio audio to inform setup and race decisions.
In this brief: 2 sections 1 min read
Processes vast, complex historical and live race data to anticipate aerodynamic and set‑up behaviour.
Provides trackside AI tools used in the week before a race and during events to calibrate car setup.
Transcribes and categorises noisy radio/audio from multiple channels, enabling fast search and analysis for pitwall decisions.
At Monaco the system processed tens of hours of radio and thousands of messages to improve situational awareness.
An LLM aligns formatting (e.g., turn names) and speeds queries that previously took engineers minutes.
Tool intended to reduce the gap between wind‑tunnel/CFD prediction and real‑world performance.