Back to AI/MLCustom D1 chips designed by Tesla Extremely high bandwidth between compute units Optimized for neural network training Scalable architecture Train large neural networks on fleet data Process millions of miles of driving data Enable rapid iteration on models Support end-to-end learning approaches Purpose-built for Tesla's needs More efficient than general-purpose GPUs Enables training of larger models Faster development cycles Allows training on massive datasets Enables more complex neural network architectures Speeds up model development Supports continuous improvement
Dojo Supercomputer
Dojo is Tesla's custom-designed supercomputer specifically built for training autonomous driving neural networks. It represents a massive investment in AI infrastructure.
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Purpose
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Impact
Dojo is a key competitive advantage, allowing Tesla to train models that would be impractical on standard hardware. It's part of Tesla's strategy to maintain leadership in autonomous driving technology.