Tesla is making significant progress with its Dojo 3 initiative, as the company has recently restarted work on its in-house AI training supercomputer. This decision comes after the AI5 chip design has reached a stable stage, as confirmed by Tesla CEO Elon Musk in a recent post on X.
In his post on X, Musk announced that with the AI5 chip design now in good shape, Tesla will resume work on Dojo 3. He also mentioned that the company is actively seeking engineers interested in working on what he anticipates will be the highest-volume AI chips in the world.
Musk’s update on Tesla’s AI chip roadmap outlined the future trajectory of the company’s AI technology. He mentioned that AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would enhance vehicles to near-perfection while significantly improving Optimus, and AI6 would focus on Optimus and data center applications. Furthermore, Musk highlighted that AI7/Dojo 3 would be designed to support space-based AI compute.
The recent developments have helped clarify some confusion that arose last year regarding the future of Project Dojo. Musk had previously stated that Tesla was stepping back from Dojo due to resource allocation concerns across multiple AI chip architectures. However, he later suggested that clustering a large number of Tesla AI5 and AI6 chips for training could serve as an effective alternative to a dedicated Dojo successor.
Despite initial speculations that AI6 would be the new Dojo, Musk’s latest updates indicate that Tesla will be using AI7 as its dedicated Dojo successor. He mentioned that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, hinting at a potentially earlier deployment of Dojo than previously expected.
Overall, Tesla’s renewed focus on its Dojo 3 initiative showcases the company’s commitment to advancing AI technology and solidifying its position as a leader in the field. With the AI5 chip design reaching stability and plans for future AI chip developments in place, Tesla is poised to make significant strides in AI innovation in the coming years.