Tesla Refocuses AI Chip Development, Elon Musk Confirms Shift Away from Dojo Supercomputer Team
Tesla CEO Elon Musk announced that the company will streamline its AI chip research to concentrate primarily on developing inference chips designed to run AI models and enable real-time decision-making. This follows reports that Musk ordered the disbandment of the in-house Dojo supercomputer team, with its leader, Peter Bannon, leaving the company.
The Dojo supercomputer, built around custom training chips, was originally created to process vast data from Tesla electric vehicles to train its autonomous driving software. Musk stated on X that it no longer makes sense for Tesla to split resources between two distinct AI chip designs. Instead, all efforts will now focus on Tesla’s AI5, AI6, and subsequent chips, which are optimized for inference tasks and still capable of training AI models effectively.
Analysts, including Morgan Stanley’s Adam Jonas, had previously valued the Dojo supercomputer at $500 billion in 2023, viewing it as a key growth driver for Tesla beyond vehicle sales, comparable to Amazon’s cloud business. It remains unclear how this restructuring will impact Tesla’s valuation.
Industry-wide, tech companies are consolidating custom chip development to reduce latency, power consumption, and costs while focusing on fewer architectures. Tesla’s recent restructuring includes executive departures, job cuts, and a strategic pivot toward AI-driven self-driving technology and robotics, with Musk aiming for synergy across his technology ventures.
Musk has announced plans for next-generation AI5 chips targeted for production by the end of 2026 and revealed a $16.5 billion contract with Samsung Electronics to supply AI6 chips. These chips are expected to power Tesla’s autonomous vehicles and Optimus humanoid robots, with potential for broader AI applications due to their substantial compute capabilities.
According to Bloomberg, around 20 Dojo team members have already left to join the startup DensityAI, while remaining staff are being reassigned within Tesla to other compute and data center projects.