Elon Musk has announced that Tesla will be reviving its work on Dojo3, a cutting-edge supercomputer project aimed at revolutionizing the company's Full Self-Driving software. The news comes as a surprise, given that the Dojo team was disbanded last year in favor of prioritizing AI chip development for onboard vehicles.
According to Musk, Tesla will restart work on Dojo3 once the AI5 chip design is finalized, citing its potential to process vast amounts of data from Tesla vehicles and enhance the company's neural net capabilities. The Dojo project initially focused on training the "neural net" behind Full Self-Driving software using video recordings and other data from the vehicles.
However, last year Musk stated that it didn't make sense for Tesla to divide its resources between two distinct AI chip designs, opting instead for a unified approach centered around the AI5, AI6, and subsequent chips. These chips are designed primarily for inference on board Tesla vehicles, not training. The AI6 chips will be manufactured by Samsung at Tesla's Texas factory under a $16 billion agreement.
Musk has also expressed interest in using space-based AI compute, proposing that data centers in orbit provide an alternative to land-based computing centers. Proponents of this idea believe that the advantages of space include easier access to solar energy and reduced power consumption due to lower temperatures. However, experts remain skeptical about the feasibility of such a project.
While the return to Dojo3 may signal Tesla's continued commitment to developing advanced AI technologies, it remains to be seen whether these efforts will yield the desired results or succumb to the same pitfalls that have plagued similar projects in the past.
According to Musk, Tesla will restart work on Dojo3 once the AI5 chip design is finalized, citing its potential to process vast amounts of data from Tesla vehicles and enhance the company's neural net capabilities. The Dojo project initially focused on training the "neural net" behind Full Self-Driving software using video recordings and other data from the vehicles.
However, last year Musk stated that it didn't make sense for Tesla to divide its resources between two distinct AI chip designs, opting instead for a unified approach centered around the AI5, AI6, and subsequent chips. These chips are designed primarily for inference on board Tesla vehicles, not training. The AI6 chips will be manufactured by Samsung at Tesla's Texas factory under a $16 billion agreement.
Musk has also expressed interest in using space-based AI compute, proposing that data centers in orbit provide an alternative to land-based computing centers. Proponents of this idea believe that the advantages of space include easier access to solar energy and reduced power consumption due to lower temperatures. However, experts remain skeptical about the feasibility of such a project.
While the return to Dojo3 may signal Tesla's continued commitment to developing advanced AI technologies, it remains to be seen whether these efforts will yield the desired results or succumb to the same pitfalls that have plagued similar projects in the past.