Tesla's Dojo 3 Supercomputer Revived: Musk Seeks Engineers with 3-Bullet Pitches
Tesla Revives Dojo 3, Musk Seeks Engineers via 3-Bullet Pitches

Elon Musk has delivered a significant update on Tesla's in-house supercomputer project, Dojo 3. The Tesla CEO confirmed that the design for the company's next-generation AI5 chip is progressing well. This positive development gives Tesla the breathing room to refocus on its ambitious Dojo 3 initiative.

Musk's Unique Hiring Call for Dojo 3

Musk is now actively recruiting elite engineers to join the Dojo 3 team. However, he has introduced a novel twist to the application process. Candidates must skip traditional resumes entirely. Instead, they need to submit a simple three-bullet-point pitch directly to Tesla.

"Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3," Musk stated in a post on X, formerly known as Twitter. He elaborated on the hiring criteria, saying, "If you're interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you've solved."

The Existential Importance of AI5

Elon Musk has previously described solving the AI5 challenge as an existential matter for Tesla. The revival of the Dojo project follows Musk's earlier decision to halt the original Dojo initiative. He had dismissed the second-generation hardware as an "evolutionary dead end."

Dojo 3's Purpose and Strategic Goals

The Dojo 3 supercomputer is engineered to train the massive neural networks essential for Tesla's Full Self-Driving (FSD) technology and the Optimus humanoid robot. By leveraging its proprietary AI5 chips, Tesla aims to achieve greater autonomy over its AI training hardware.

This move is strategically designed to reduce Tesla's dependence on external GPU suppliers like Nvidia. Musk clarified Tesla's ongoing relationship with Nvidia, noting, "Tesla will still rely on Nvidia's GPUs for AI model training but the company will not be replacing Nvidia. We use both in combination."

Production Plans and Computing Power

In October last year, Musk confirmed production details for the AI5 chips. Samsung will manufacture them in Texas, while TSMC will handle production in Arizona. Musk also revealed Tesla's current computing capacity, stating the company now possesses computing power equivalent to 81,000 Nvidia H100 chips.

Musk's Vision for AI5 Chip Supply

The tech billionaire outlined an ambitious goal for AI5 chip production. "Our goal is to have an oversupply of AI5 chips," Musk declared. He explained that any surplus chips not utilized in Tesla vehicles or robots would be deployed within the company's own data centers, creating a flexible and robust internal infrastructure.

This comprehensive approach underscores Tesla's commitment to vertical integration in AI hardware. The Dojo 3 project represents a critical step in securing the company's technological future across automotive and robotics domains.