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Tesla shuts down Dojo, the AI training supercomputer that Musk said would be key to full self-driving

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Tesla is reportedly disbanding its in-house Dojo supercomputer team, ending its proprietary chip development for driverless technology, with lead Peter Bannon departing. This marks a significant strategic pivot, as CEO Elon Musk previously touted Dojo as central to Tesla's AI ambitions and full self-driving capabilities, with Morgan Stanley once projecting it could add $500 billion to market value. The move, which follows key talent departures to a new AI chip startup, indicates Tesla's increased reliance on external partners like Nvidia, AMD, and Samsung, including a recent $16.5 billion deal for AI6 inference chips, potentially altering their AI development trajectory and capital allocation.

Analysis

Tesla is undertaking a significant strategic reversal by disbanding its Dojo supercomputer team, effectively ceasing its ambitious in-house development of proprietary chips for autonomous driving. This pivot is underscored by the departure of Dojo's lead, Peter Bannon, and follows an exodus of other key personnel who have formed a competing AI chip startup, DensityAI. The decision directly contradicts CEO Elon Musk's long-standing narrative that positioned Dojo as the cornerstone of the company's full self-driving (FSD) and broader AI ambitions—a project once forecasted by Morgan Stanley to potentially add $500 billion to Tesla's market value. The company's new direction involves a heightened reliance on external partners, evidenced by a recent $16.5 billion deal with Samsung for AI6 inference chips and plans to increase usage of compute from Nvidia and AMD. This shift was foreshadowed by Musk's recent focus on a new AI supercluster named 'Cortex' and comments during the Q2 earnings call hinting at redundancy between Dojo and the new AI6 chip, signaling a strategic move from vertical integration to external procurement for its core AI infrastructure.

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