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Tesla Dojo: Elon Musk’s big plan to build an AI supercomputer, explained
Dojo is Tesla’s custom-built supercomputer that’s designed to train its “Full Self-Driving” neural networks.
Companies like Alphabet’s Waymo have commercialized Level 4 autonomous vehicles — which the SAE defines as a system that can drive itself without the need for human intervention under certain conditions — through a more traditional sensor and machine learning approach. “We can do compute and data transfers simultaneously, and our custom ISA, which is the instruction set architecture, is fully optimized for machine learning workloads,” said Ganesh Venkataramanan, former senior director of Autopilot hardware, at Tesla’s 2021 AI Day. During Tesla’s second-quarter earnings call, Musk said that demand for Nvidia hardware is “so high that it’s often difficult to get the GPUs.” He said he was “quite concerned about actually being able to get steady GPUs when we want them, and I think this therefore requires that we put a lot more effort on Dojo in order to ensure that we’ve got the training capability that we need.”
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