"Crucial to that mission was Dojo, a custom-built supercomputer designed by Tesla to train its Full Self-Driving (FSD) neural networks. FSD isn't actually fully self-driving; it can perform some automated driving tasks, but still requires an attentive human behind the wheel. But Tesla thinks with more data, more compute power and more training, it can cross the threshold from almost self-driving to full self-driving."
"Feb 2 - Musk says Tesla will soon have more than a million connected vehicles worldwide with sensors and compute needed for full self-driving - and touts Dojo's capabilities. Dojo, our training supercomputer, will be able to process vast amounts of video training data & efficiently run hyperspace arrays with a vast number of parameters, plenty of memory & ultra-high bandwidth between cores. More on this later."
Elon Musk intends for Tesla to transition from an automaker to an AI company focused on achieving fully self-driving cars. Dojo was built as a custom supercomputer to train Tesla’s Full Self-Driving (FSD) neural networks. FSD currently performs some automated driving tasks but still requires an attentive human behind the wheel. Tesla expects that more data, compute power, and training can push FSD from near-autonomy to full self-driving capability. Musk promoted Dojo across multiple years as essential for processing vast video datasets and running large neural models. Dojo’s prominence has shifted as another supercomputer, Cortex, has appeared.
Read at TechCrunch
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