Part 10/14:
Tesla has designed its own AI inference chips—Hardware 3, Hardware 4, and the upcoming AI5—crafted from first principles to deliver maximum performance and power efficiency. Musk painted a picture of a future where a global fleet of over 100 million Tesla vehicles could collectively provide enormous distributed compute resources, potentially rivaling cloud giants like AWS.
Training neural networks and refining AI models are ongoing processes, leveraging Tesla’s vast data collection from its fleet. The company’s approach involves shadow testing, on-road validation, and complex multi-model comparisons to ensure continual improvements in self-driving capabilities.