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

Core Insights - Tesla is disbanding its Dojo supercomputer team, marking a significant shift in its strategy for developing in-house chips for driverless technology [1][4] - The departure of around 20 employees to form a new AI startup, DensityAI, has contributed to the dissolution of the Dojo project [2] - CEO Elon Musk has been promoting Tesla as an AI and robotics company, despite challenges in the rollout of its robotaxi service [3] Group 1: Dojo Project Developments - The lead of the Dojo project, Peter Bannon, is leaving Tesla, and remaining team members will be reassigned to other projects [1] - The Dojo project was initially seen as a cornerstone for Tesla's AI ambitions, with Musk emphasizing its potential to process vast amounts of video data [4] - Morgan Stanley had predicted that Dojo could add $500 billion to Tesla's market value by creating new revenue streams [5] Group 2: Shift in Strategy - Tesla plans to increase reliance on external technology partners like Nvidia and AMD for computing needs, moving away from in-house chip development [8] - A recent $16.5 billion deal with Samsung aims to produce AI6 inference chips for various applications, including full self-driving and humanoid robots [9] - Musk hinted at potential redundancies and convergence between the Dojo and AI6 inference chip projects [9] Group 3: Future Directions - The focus has shifted to a new AI training supercluster called Cortex, which is being developed at Tesla's headquarters in Austin [7] - The Dojo project was part of a broader strategy that included the development of Tesla's D1 chip, which was unveiled in 2021 [7] - Tesla's board has offered Musk a $29 billion pay package to ensure his continued leadership in advancing the company's AI initiatives [10]