Innovating at speed
summary
Formula 1 cars stream 120 sensors producing about 3 GB per car per race and roughly 1,500 data points per second into on-track datacenters; historical archives (65 years, 500+ races) move to S3 and teams train deep‑learning models with Amazon SageMaker for real‑time inference, race predictions, new telemetry metrics and video tagging. Live multi‑channel video at 200 mph, two‑second pit stops, Monte Carlo strategy sims and global logistics are the operational constraints these systems must meet.
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chapters (9)
- 0:00Intro
- 2:40Why AWS
- 4:10F1 Cars
- 6:00F1 Races
- 7:50Race Technology
- 9:05eSports
- 10:20AWS
- 11:23What can you learn
- 12:50Top stories
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