Part 7/11:
Tesla's latest FSD V12 employs artificial intelligence to analyze video feeds, generating driving commands with minimal human input. This AI relies heavily on vast amounts of real-world video data, necessitating enormous computational power to process and train.
To meet these demands, Tesla uses Nvidia chips combined with in-house Dojo supercomputing clusters. This scalable infrastructure allows Tesla to accelerate its AI training capabilities—a crucial factor in the global adoption of autonomous driving.
Tesla’s challenge now mirrors earlier efforts like the Model 3’s ramp-up: shifting from continuous innovation to massive data processing and scaling. The more Tesla’s fleet drives, the better its system becomes, creating a positive feedback loop that cements Tesla's lead.