Musk Reboots Tesla’s Dojo Chip With Shift to Space-Based AI
The move revives a shelved in-house silicon effort months after Tesla leaned back on external chip suppliers.
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Tesla, the electric vehicle maker led by Elon Musk, plans to revive work on Dojo3, a third-generation artificial intelligence chip project, with a new focus on what Musk described as “space-based AI compute.”
Musk said over the weekend that the renewed effort would no longer be aimed at training self-driving systems on Earth. Instead, the chip would be developed to support computing workloads beyond the planet.
“AI7/Dojo3 will be for space-based AI compute,” Musk wrote in a post on X.
The shift comes about five months after Tesla shut down its Dojo program, disbanding the team behind the in-house supercomputer following the departure of its technical lead.
Several engineers later left to form a separate AI infrastructure startup. At the time, Tesla signaled it would rely more heavily on external partners such as Nvidia and AMD for computing power, and Samsung for chip manufacturing, rather than continue developing custom silicon.
Musk’s comments suggest that strategy has shifted again. He linked the decision to restart Dojo to progress on Tesla’s internal chip roadmap, saying the company’s AI5 chip design was “in good shape.”
Tesla’s AI5 chip, produced by TSMC, is intended to support the automaker’s automated driving systems and its Optimus humanoid robots. Tesla has also signed a $16.5 billion agreement with Samsung to manufacture its next-generation AI6 chips, which are expected to power vehicles, robots and high-performance AI training in data centers.
To rebuild the Dojo effort, Tesla is now seeking engineers. Musk used the same post to recruit directly, inviting candidates to email the company with details of difficult technical problems they have worked on.
