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

Tesla is shutting down its Dojo AI training supercomputer project and disbanding the team behind it, marking a significant shift in the company’s strategy for developing in-house chips and hardware for full self-driving technology. Peter Bannon, the Dojo lead, is leaving Tesla, and remaining team members will be reassigned to other data center and compute projects. This move follows the departure of about 20 former Dojo employees who have founded a new startup, DensityAI, which aims to build chips, hardware, and software for AI-powered data centers used in robotics, AI agents, and automotive applications. The decision to end Dojo comes amid Tesla’s ongoing efforts to position itself as an AI and robotics company, despite setbacks such as a limited robotaxi launch in Austin that faced criticism for problematic driving behavior. CEO Elon Musk had previously touted Dojo as central to Tesla’s AI ambitions and full self-driving goals, emphasizing its capacity to process vast amounts of video data. However, since mid-202