Tesla
Full Self-Driving: Training the World's Largest Fleet-Learned AI
The Problem
Achieving safe autonomous driving requires handling the near-infinite variety of real-world driving scenarios — a combinatorial problem impossible to solve with hand-coded rules. Most autonomous vehicle programs relied on expensive lidar and HD maps that couldn't scale globally.
The Solution
Tesla built an AI-first autonomous driving system using only cameras (8 cameras) combined with a neural network trained on video from Tesla's fleet of 5M+ vehicles. Their custom Dojo supercomputer processes this fleet data at exabyte scale to continuously improve driving behavior.
The Outcome
FSD accumulated 1B+ miles of FSD data. Statistically outperforms human drivers on safety metrics in certain conditions. The approach of using fleet learning rather than pre-mapped HD maps enabled deployment globally without mapping each road.
Key Metrics
- 1B+ FSD miles accumulated
- 5M+ vehicles contributing training data
- Dojo supercomputer: exaFLOP-scale training
- Operating in 40+ countries