Mercedes-AMG PETRONAS F1 Team

Solution

Mercedes-AMG PETRONAS F1 Team uses Microsoft Azure Batch to scale race-strategy analytics during Grand Prix weekends. Strategists ingest live inputs including rival-car pace, tire behavior, local weather radar, forecast updates, and each Mercedes driver's telemetry, then run full-race simulations that model every lap, pit stop, and overtake under different tire and weather scenarios. Azure Batch provides burst compute so the team can execute thousands to millions of runs in parallel, both before the race and from the pit wall during Sunday competition, instead of waiting up to an hour for Saturday-night processing. Results are fed back to strategists, who update models live and translate the outputs into concrete tire, pit-stop, and undercut decisions for drivers and pit crew. The source does not name a dedicated storage tier; the described architecture is centered on cloud compute returning decision support in seconds at trackside.

Data flow

Weather radar, forecast updates, rival-car pace data, tire-degradation observations, and Mercedes telemetry are fed into strategy models that simulate complete races. Azure Batch runs thousands to millions of parallel scenarios and returns results in seconds to the strategy team at trackside, where they update models live and convert the outputs into pit-stop and tire calls communicated to engineers, drivers, and the pit crew.