Much excitement surrounding Tesla’s Dojo supercomputing cluster has been swirling in recent months since the system went online, and the automaker already expects it to be one of the world’s most powerful supercomputers by early next year. But one reporter recently noted that Dojo could someday have additional uses beyond processing vast amounts of data for Tesla’s Full Self-Driving (FSD) system and humanoid robot.
Dojo can process millions of terabytes of video data per second from the company’s vehicles, training its neural network at an incredible rate. The company has said that the video foundation models input to Dojo would effectively serve as the brain of its vehicles and its Optimus robot.
In a recent video segment about how Dojo is expected to revolutionize self-driving, however, Yahoo Finance reporter Pras Subramanian also talked about the supercomputing cluster’s potential applications beyond FSD and Optimus.
The short discussion, hosted by Seana Smith, details how the Dojo system will use Tesla’s AI model to train FSD. However, Subramanian also says the supercomputer could someday be used for vessels other than cars, including motorcycles, bicycles and boats. The conversation also touched on how Dojo works, the complexity of training AI to handle roads and Ford and Volkswagen’s decision to end Argo AI operations, among other topics.
You can watch a short clip from the video segment below or see the full conversation here.
As for cars, Musk has previously talked about the potential of using Dojo to perform traffic control simply with the system’s inputs for things like accidents, potholes, road closures or other data that would be useful for a Tesla to access in real-time. Musk said in June that Dojo had been “online and running useful tasks for a few months,” helping out with production workloads and spurring on the current round of excitement surrounding the computing cluster.
In June, Tesla posted about Dojo on X, detailing how its neural networks were already being accessed in its cars and adding that the company is “building the foundation models for autonomous robots.” Below is an excerpt from the thread:
“Our multi-modal neural networks are already in customer vehicles—these networks take in arbitrary modalities such as camera videos, maps, navigation, IMU (Inertial Measurement Unit), GPS etc.
Tasks such as Occupancy prediction are already quite general in what they represent—in some ways, they are ontology-free & simply predict the probability that some 3D position is occupied.
Such occupancy can be used for collision avoidance by any robot.
All of this is enabled by fleet scale auto-labelling. By using video data from multiple trips in the same location, we can reconstruct the entire scene
In addition, we’re building off state-of-the-art generative modeling techniques—enabling us to predict possible outcomes given past observations, in a jointly consistent manner across multiple camera views”
These imagined futures can be action-conditioned to produce different outcomes.
For example, the videos below are generated entirely by the neural network by simply using different prompts pic.twitter.com/ZuJEYcLuZK
— Tesla AI (@Tesla_AI) June 21, 2023
In 2021, Musk said that Dojo could likely someday reduce traffic fatalities by 90 percent and eventually it may be able to reduce them by more than 99 percent.
Last month, a report showed that Tesla had doubled its order of D1 Dojo chips for next year from Taiwan Semiconductor Manufacturing Company (TSMC), now totaling 10,000 units. According to the report, the company also plans to increase its order in 2025. Morgan Stanley also said last month that Dojo could add $500 billion to Tesla’s enterprise value.
Tesla Dojo trade secrets lawsuit officially settles out of court
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
News
Doug DeMuro names Tesla Model S the Most Important Car of the last 30 years
In a recent video, the noted reviewer stated that the choice was “not even a question.”
Popular automotive reviewer and YouTuber Doug DeMuro has named the 2012 Tesla Model S as the most important car of the last 30 years.
In a recent video, the noted reviewer stated that the choice was “not even a question,” arguing that the Model S did more to change the trajectory of the auto industry than any other vehicle released since the mid-1990s.
“Unquestionably in my mind, the number one most important car of the last 30 years… it’s not even a question,” DeMuro said. “The 2012 Tesla Model S. There is no doubt that that is the most important car of the last 30 years.”
DeMuro acknowledged that electric vehicle adoption has faced recent headwinds. Still, he maintained that long-term electrification is inevitable.
“If you’re a rational person who’s truthful with yourself, you know that the future is electric… whether it’s 10, 20, 30 years, the future will be electric, and it was the Model S that was the very first car that did that truthfully,” he said.
While earlier EVs like the Nissan Leaf and Chevrolet Volt arrived before the Model S, DeMuro argued that they did not fundamentally shift public perception. The Model S proved that EVs “could be cool, could be fast, could be luxurious, could be for enthusiasts.” It showed that buyers did not have to make major compromises to drive electric.
He also described the Model S as a cultural turning point. Tesla became more than a car company. The brand expanded into Superchargers, home energy products, and a broader tech identity.
DeMuro noted that the Leaf and Volt “made a huge splash and taught us that it was possible.” However, he drew a distinction between being first and bringing a technology into the mainstream.
“It’s rarely about the car that does it first. It’s about the car that brings it into the mainstream,” he said. “The Model S was the car that actually won the game even though the Leaf and Volt scored the first.”
He added that perhaps the Model S’ most surprising achievement was proving that a new American automaker could succeed. For decades, industry observers believed the infrastructure and capital requirements made that nearly impossible.
“For decades, it was generally agreed that there would never be another competitive American car company because the infrastructure and the investment required to start up another American car company as just too challenging… It was just a given basically that you couldn’t do it. And not only did they go it, but they created a cultural icon… That car just truly changed the world,” he said.
Elon Musk
Elon Musk doubles down on Tesla Cybercab timeline once again
“Cybercab, which has no pedals or steering wheel, starts production in April,” Musk said.
CEO Elon Musk doubled down once again on the timeline of production for the Tesla Cybercab, marking yet another example of the confidence he has in the company’s ability to meet the aggressive timeline for the vehicle.
It is the third time in the past six months that Musk has explicitly stated Cybercab will enter production in April 2026.
On Monday morning, Musk reiterated that Cybercab will enter its initial manufacturing phase in April, and that it would not have any pedals or a steering wheel, two things that have been speculated as potential elements of the vehicle, if needed.
Cybercab, which has no pedals or steering wheel, starts production in April https://t.co/yShxZ2HJqp
— Elon Musk (@elonmusk) February 16, 2026
Musk has been known to be aggressive with timelines, and some products have been teased for years and years before they finally come to fruition.
One of perhaps the biggest complaints about Musk is the fact that Tesla does not normally reach the deadlines that are set: the Roadster, Semi, and Unsupervised Full Self-Driving suite are a few of those that have been given “end of this year” timelines, but have not been fulfilled.
Nevertheless, many are able to look past this as part of the process. New technology takes time to develop, but we’d rather not hear about when, and just the progress itself.
However, the Cybercab is a bit different. Musk has said three times in the past six months that Cybercab will be built in April, and this is something that is sort of out of the ordinary for him.
In December 2025, he said that Tesla was “testing the production system” of the vehicle and that “real production ramp starts in April.
Elon Musk shares incredible detail about Tesla Cybercab efficiency
On January 23, he said that “Cybercab production starts in April.” He did the same on February 16, marking yet another occasion that Musk has his sights set on April for initial production of the vehicle.
Musk has also tempered expectations for the Cybercab’s initial production phase. In January, he noted that Cybercab would be subjected to the S-curve-type production speed:
“…initial production is always very slow and follows an S-curve. The speed of production ramp is inversely proportionate to how many new parts and steps there are. For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast.”
Cybercab will be a huge part of Tesla’s autonomous ride-sharing plans moving forward.
Elon Musk
Tesla owners explore potential FSD pricing options as uncertainty looms
We asked Tesla owners what the company should price Full Self-Driving moving forward, as now it’s going to be subscription-based. There were some interesting proposals.
Tesla is starting the process of removing the ability to purchase the Full Self-Driving suite outright, as it pulled the purchase option in the United States over the weekend.
However, there has been some indication by CEO Elon Musk that the price of the subscription will increase as the suite becomes more robust. But Tesla finds itself in an interesting situation with this: the take rate for Full Self-Driving at $99 per month is about 12 percent, and Musk needs a significant increase in this rate to reach a tranche in his new compensation package.
This leaves Tesla and owners in their own respective limbos: Tesla needs to find a price that will incentivize consumers to use FSD, while owners need Tesla to offer something that is attractive price-wise.
We asked Tesla owners what the company should price Full Self-Driving moving forward, as now it’s going to be subscription-based. There were some interesting proposals.
Price Reduction
Although people are willing to pay the $99 per month for the FSD suite, it certainly is too high for some owners. Many suggested that if Tesla would back down the price to $49, or somewhere around that region, many owners would immediately subscribe.
Others suggested $69, which would make a lot of sense considering Musk’s obsession with that number.
Different Pricing for Supervised and Unsupervised
With the release of the Unsupervised version of Full Self-Driving, Tesla has a unique opportunity to offer pricing for different attention level requirements.
$50/mo for supervised.
$300/mo for unsupervised including insurance.— pɦoɿɟ pᴉʌɒp (@CSUDavid) February 15, 2026
Unsupervised Full Self-Driving would be significantly more expensive, but not needed by everyone. Many people indicate they would still like to drive their cars manually from time to time, but others said they’d just simply be more than okay with only having Supervised FSD available in their cars.
Time-Based Pricing
Tesla could price FSD on a duration-based pricing model, including Daily, Weekly, Monthly, and Annual rates, which would incentivize longer durations with better pricing.
Annually, the rate could be $999 per year, while Monthly would stay at $99. However, a Daily pass of FSD would cost somewhere around $10, while a $30 per week cost seems to be ideal.
These all seem to be in line with what consumers might want. However, Tesla’s attitude with FSD is that it is the future of transportation, and with it offering only a Monthly option currently, it does not seem as if it will look as short-term as a Daily pass.
Tiered Pricing
This is perhaps the most popular option, according to what we’ve seen in comments and replies.
This would be a way to allow owners to pick and choose which FSD features they would like most and pay for them. The more features available to you, the more it costs.
For example, if someone only wanted Supervised driving and Autopark, it could be priced at $50 per month. Add in Summon, it could be $75.
This would allow people to pick only the features they would use daily.