Ganesh Venkataramanan, Tesla’s project lead for its ambitious Dojo supercomputer project for the past five years, has left the company. Bloomberg reported this development, stating that the news was confirmed by sources familiar with the matter. Peter Bannon, a former executive at Apple Inc. and a director at Tesla for the last seven years, has now taken the helm of the project.
Venkataramanan's departure from Tesla last month is now stirring conversations about the potential impacts on Tesla's future initiatives. His contributions to the Dojo project have been pivotal, especially in designing the custom D1 chip that powers the supercomputer. Venkataramanan, with his extensive experience, including a significant tenure at Advanced Micro Devices Inc. (AMD), was a crucial asset in setting up Tesla’s AI hardware and silicon teams in 2016.
Dojo: A Cornerstone for Tesla’s Self-Driving Aspirations
The Dojo supercomputer is a critical element of Tesla's strategy to enhance its self-driving capabilities. Designed to train machine learning models integral to Tesla's autonomous systems, Dojo processes vast amounts of data captured by Tesla vehicles. This rapid data processing is essential for improving the company’s algorithms, with analysts suggesting that Dojo could be a significant competitive advantage for Tesla. In a recent estimation by Morgan Stanley, the project could potentially add $500 billion to Tesla’s value.
Elon Musk has been vocal about the company's commitment to the Dojo project, planning an investment exceeding $1 billion by the end of 2024. The project's importance was underscored in Tesla's decision to shift from relying on Nvidia Corp.’s supercomputers to developing Dojo, poised to rival systems from Hewlett Packard Enterprise Co. and IBM.
Looking Ahead: Impact and Future Prospects
The recent leadership changes raise questions about the future direction of the Dojo project. Venkataramanan's exit, coupled with the departure of another critical artificial intelligence player from Tesla last year, Andrej Karpathy, signals a transition period for the company’s AI and self-driving teams.
However, Tesla's robust talent pool, blending experienced and emerging professionals, offers a silver lining. Bannon's promotion to lead the Dojo project is seen as a strategic move, leveraging his experience and insights gained from his tenure at Apple. Moreover, the recent installation of Dojo hardware in Palo Alto, California, marks a step forward in centralizing and enhancing the project’s capabilities.
Tesla’s ambitions for Dojo extend to making it one of the world’s top supercomputers. The company envisions reaching a computational capability of 100 exaflops* by October 2024, a testament to its commitment to advancing artificial intelligence and self-driving technology.
* Confused about "exaflops?" "Flops" stands for Floating Point Operations Per Second. It's a way to measure how fast a computer can process data. "Exa" means a billion billion, or 1, followed by 18 zeros (1,000,000,000,000,000,000). So, when we say a computer can perform 100 exaflops, it can do 100 billion billion calculations per second. That's incredibly fast!
Subscribe
Subscribe to our newsletter to stay up to date on the latest Tesla news, upcoming features and software updates.
Tesla signaled its intention to launch its first Robotaxi network in Austin, Texas, with company-owned and operated vehicles, back in January. This network will be Tesla’s first foray into truly autonomous vehicles - ones that aren’t being directly supervised by a driver. Later in February, Tesla’s executive team confirmed that the plans were on track for the launch of the Austin network both on X and during several interviews that they participated in.
At the end of February, we also found out that Tesla has applied for a Supervised Robotaxi license in California, where the network will also launch, but with safety drivers in place.
This is an ambitious plan, but FSD has really come a long way in the past year. FSD V12 was a massive step forward from V11, and V13 has made the experience smoother and safer than ever before. FSD V14 is expected to be another big step up with auto-regressive transformers and audio input.
Still on Track
Now, Elon has tripled down on the fact that Tesla will be launching their first autonomous robotaxi network in Austin - just two months away at this point. It seems that Tesla is fully set to launch their first fully unsupervised self-driving vehicles that will carry paying passengers in June.
Additional Cities
The best part is that Elon also confirmed that they’re targeting robotaxi networks launching in many cities within the United States by the end of this year. However, remember that this will be a Tesla-run network at first - Tesla owners won’t be able to add their vehicles to the Robotaxi fleet right away.
Adding Customer Vehicles
It will take some time before Tesla meets their strict internal safety requirements before it lets customers add their own vehicles to the network. Tesla’s executive team mentioned that they intend to let owners add their own vehicles to the fleet sometime in 2026. This happens to be the same time frame that Tesla plans to launch the Robotaxi across the United States, Mexico, and Canada — something that could only be done with customer-owned cars.
That final step will be bold—and it may come with complications, especially given that autonomous vehicle approval spans municipal, state or provincial, and even federal levels. There are plenty of regulatory hurdles ahead, but this is undoubtedly shaping up to be one of the most exciting times for Tesla.
Launch Event
With the Robotaxi network launching and Unsupervised FSD just around the corner, there’s a lot to get excited about. Tesla is expected to host a launch event at Gigafactory Texas in Austin to mark the debut of its first Robotaxi network. The company previously hinted that referral code users could receive invites—offering a rare chance to score an early ride in a Robotaxi outside the Hollywood studio lot.
Tesla’s engineering mule vehicles—used to test autonomy for future platforms—have resurfaced after an extended absence. The last time we saw them was back in July, when Tesla was gearing up for its initial We, Robot event. Since then, sightings have been scarce.
These vehicles typically signal that Tesla is testing new camera placements or validating FSD ground-truth data. This time, however, they appear to be outfitted exclusively with the updated camera hardware seen on the Cybercab.
New Sightings
The mules have now been spotted in Boston, Massachusetts, and Concord, New Hampshire—their first known appearances this far east. This suggests Tesla is actively collecting data to evaluate and optimize FSD performance in new regions. Thanks to Reddit user Ready_Medium_6693 for catching the one in Concord.
Elon Musk recently mentioned that Tesla plans to expand Robotaxi networks beyond the initial Texas and California launches. So while these sightings aren’t entirely unexpected, the speed of their arrival is. It suggests Tesla is confident in its ability to train FSD for local traffic rules and driving behaviors to the point it no longer needs a driver.
Bumper Cameras
The vehicle that’s been spotted in Boston is the usual Tesla engineering Model 3… except with one unique twist. It includes a front bumper camera. Shout out to @Dylan02939106 for catching the bumper camera in these photos.
The Refreshed Model 3 Mule with a Bumper Camera!
@Dylan02939106 on X
We previously released an opinion piece regarding whether the front bumper camera would be required for Unsupervised FSD. In our eyes, Tesla will require a bumper camera for Unsupervised FSD - if only to improve direct visibility in the bumper area of the vehicle. This is key for low-speed maneuvering in crowded areas like parking lots and garages, as well as for key features like Actually Smart Summon.
It isn’t surprising that Tesla is continuing to evaluate vehicles with a bumper camera - the Cybertruck, Cybercab, and Refreshed Model Y all have them now - and the rest of the lineup, including the flagship Model S and X, as well as the refreshed Model 3 - were supposed to eventually receive them as well.
With the Model S and Model X set for refreshes this year—and the front bumper camera on this Model 3 looking well-integrated rather than a temporary setup—it seems likely that front bumper cameras will soon become standard across Tesla’s entire lineup.
The Robotaxi Mule in Boston
@Dylan02939106 on X
In fact, Tesla’s newest iteration of the FSD computer has a slot for the Bumper Camera on all AI4/HW4 vehicles, so a future retrofit could even be possible.
These are some pretty exciting times - we may see Robotaxi networks actually deploy in time for Tesla’s lofty goal of “sometime in 2026” for cities throughout North America. Once many American cities begin to accept their deployment, it will be easier to seek homologation in Mexico and Canada, enabling deployment throughout the continent.
