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.
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Tesla Giga Berlin dispute against IG Metall union leads to investigation
As per a report from rbb24, police seized a laptop belonging to an IG Metall member at Tesla Giga Berlin on Tuesday afternoon.
German authorities have opened an investigation into an IG Metall union representative following allegations that a confidential works council meeting at Tesla’s Gigafactory Berlin was secretly recorded. The probe follows a criminal complaint filed by Tesla management last week.
As per a report from rbb24, police seized a laptop belonging to an IG Metall member at Tesla Giga Berlin on Tuesday afternoon. Prosecutors in Frankfurt (Oder) confirmed that an investigation is underway into a possible unauthorized audio recording of an internal works council meeting.
Under German law, recording a non-public meeting without consent may constitute a criminal offense.
Tesla stated that Gigafactory Berlin employees alerted management after allegedly discovering that an external union representative, who was attending the event as a guest, had recorded the session. Plant manager André Thierig stated in a post on X that the representative was “caught in action,” prompting the company to contact police and file a criminal complaint.
The seized device is now part of the investigation, and authorities will determine whether any unlawful recording had indeed occurred.
IG Metall has denied the accusation. In comments to German media, representatives rejected Tesla’s claim and described the electric vehicle maker’s allegation as an election campaign tactic ahead of upcoming works council elections.
The election at Tesla’s Grünheide plant is scheduled for March 2–4, 2026, with about 11,000 employees being eligible to vote. Regular works council elections in Germany are held every four years between March and May.
The incident comes amid tensions between Tesla and organized labor in Germany. While works councils operate independently from unions, IG Metall has been active at the plant and has previously criticized Tesla’s labor practices. Authorities, for their part, have not yet announced whether charges will be filed, though the investigation remains ongoing.
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Tesla rolls out xAI’s Grok to vehicles across Europe
The initial rollout includes the United Kingdom, Ireland, Germany, Switzerland, Austria, Italy, France, Portugal, and Spain.
Tesla is rolling out Grok to vehicles in Europe. The feature will initially launch in nine European territories.
In a post on X, the official Tesla Europe, Middle East & Africa account confirmed that Grok is coming to Teslas in Europe. The initial rollout includes the United Kingdom, Ireland, Germany, Switzerland, Austria, Italy, France, Portugal, and Spain, and additional markets are expected to be added later.
Grok allows drivers to ask questions using real-time information and interact hands-free while driving. According to Tesla’s support documentation, Grok can also initiate navigation commands, enabling users to search for destinations, discover points of interest, and adjust routes without touching the touchscreen, as per the feature’s official webpage.
The system offers selectable personalities, ranging from “Storyteller” to “Unhinged,” and is activated either through the App Launcher or by pressing and holding the steering wheel’s microphone button.
Grok is currently available only on Model S, Model 3, Model X, Model Y, and Cybertruck vehicles equipped with an AMD infotainment processor. Vehicles must be running software version 2025.26 or later, with navigation command support requiring version 2025.44.25 or newer.
Drivers must also have Premium Connectivity or a stable Wi-Fi connection to use the feature. Tesla notes that Grok does not currently replace standard voice commands for vehicle controls such as climate or media adjustments.
The company has stated that Grok interactions are processed securely by xAI and are not linked to individual drivers or vehicles. Users do not need a Grok account or subscription to enable the feature at this time as well.
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Tesla ends Full Self-Driving purchase option in the U.S.
In January, Musk announced that Tesla would remove the ability to purchase the suite outright for $8,000. This would give the vehicle Full Self-Driving for its entire lifespan, but Tesla intended to move away from it, for several reasons, one being that a tranche in the CEO’s pay package requires 10 million active subscriptions of FSD.
Tesla has officially ended the option to purchase the Full Self-Driving suite outright, a move that was announced for the United States market in January by CEO Elon Musk.
The driver assistance suite is now exclusively available in the U.S. as a subscription, which is currently priced at $99 per month.
Tesla moved away from the outright purchase option in an effort to move more people to the subscription program, but there are concerns over its current price and the potential for it to rise.
In January, Musk announced that Tesla would remove the ability to purchase the suite outright for $8,000. This would give the vehicle Full Self-Driving for its entire lifespan, but Tesla intended to move away from it, for several reasons, one being that a tranche in the CEO’s pay package requires 10 million active subscriptions of FSD.
Although Tesla moved back the deadline in other countries, it has now taken effect in the U.S. on Sunday morning. Tesla updated its website to reflect this:
🚨 Tesla has officially moved the outright purchase option for FSD on its website pic.twitter.com/RZt1oIevB3
— TESLARATI (@Teslarati) February 15, 2026
There are still some concerns regarding its price, as $99 per month is not where many consumers are hoping to see the subscription price stay.
Musk has said that as capabilities improve, the price will go up, but it seems unlikely that 10 million drivers will want to pay an extra $100 every month for the capability, even if it is extremely useful.
Instead, many owners and fans of the company are calling for Tesla to offer a different type of pricing platform. This includes a tiered-system that would let owners pick and choose the features they would want for varying prices, or even a daily, weekly, monthly, and annual pricing option, which would incentivize longer-term purchasing.
Although Musk and other Tesla are aware of FSD’s capabilities and state is is worth much more than its current price, there could be some merit in the idea of offering a price for Supervised FSD and another price for Unsupervised FSD when it becomes available.