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!
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It has been a long wait for FSD for European customers, many of whom paid for the feature years ago on now legacy hardware. While the FSD transfer program has come and gone multiple times, there’s something to be said about having it available in North America, where it can be used, and in Europe or other countries, where it still just remains the same as Enhanced Autopilot (differences between Autopilot, EAP, and FSD).
FSD Transfer is a nice goodwill gesture from Tesla that in theory doesn’t cost them anything. Instead, it keeps customers, especially those who have been waiting for years, loyal and happy. It also incentivizes them to upgrade to a newer Tesla with HW4, where FSD will hopefully be achieved.
In a reply to a post on X, Elon agreed with the suggestion that offering FSD transfers in Europe would be a fair solution for those who have already purchased FSD but can’t use its capabilities.
FSD Transfer directly addresses a growing concern for many long-term European Tesla owners. Thousands of customers purchased the full package, often many years ago, with the expectation that FSD would eventually be capable and approved for use. However, the reality is that FSD, even as an advanced driver assistance system (ADAS), continues to be pushed back in Europe.
Without the transfer program, it's a difficult choice: either throw away your original investment in FSD and pay for the package a second time (FSD price history), or subscribe to it in the future.
Offering FSD transfers is a good way for Tesla to meet them halfway. It's a difficult situation, and one that’s being hindered by processes beyond the control of both the customer and Tesla. However, a transfer helps both parties. Tesla sells another vehicle, and the customer gets to keep FSD.
When Will it Be Available?
Based on how FSD transfers have worked in the past following Elon’s announcements, this feature is likely to become available for a limited time period in the coming days or weeks. If it happens, we should expect an announcement from Tesla Europe on X and emails being sent out to Tesla customers.
Once the program is in place, all you need to do is complete your vehicle purchase and then inform your Tesla sales advisor that you’d like to transfer FSD. You don’t even have to sell or trade in your old Tesla; FSD will simply be removed from it as a feature.
Hopefully, Tesla enables FSD Transfers for everyone, regardless of region. It should be an ongoing offer until at least FSD is approved in the given country or region.
The introductory price for Tesla’s Robotaxi Network has finally been updated. In a post on X, Elon Musk confirmed that the new fare would be rolling out to complement the new Robotaxi geofence expansion.
This change marks the first adjustment to Tesla’s fares since the initial $4.20 launch price 23 days ago. While the price increase may seem significant in terms of percentages, when compared to other options in the ride-hailing area, it is still drastically cheaper.
But the price is now a princely $6.90, as foretold in the prophecy 😂
Robotaxi currently operates on a simple, flat-rate model. The new $6.90 fare gets you a ride to anywhere within the recently expanded geofence.
So far, this is the opposite approach compared to other services, such as Waymo or traditional ride-sharing options like Uber and Lyft. All these services use dynamic pricing based on distance, time of day, and demand. A comparable trip on any one of these services could cost anywhere from $30 to $65, and potentially even higher during peak hours.
That doesn’t even include the tip fees for human drivers either - another win for Robotaxi (can you tip a Robotaxi?).
Even with the adjustment, the flat $6.90 fare remains less than half the price of a typical competing ride, making Robotaxi the most affordable point-to-point transportation option in Austin, aside from mass transit, for now.
A “Maturing” Service
The price change, moving from one meme-worthy number to another, is a sign that Robotaxi is finally graduating from its initial pilot phase. Following the first major expansion of the service area, this adjustment is a logical next step towards finding a more sustainable flat price.
While the new fare is a 65% increase over the old fare, the key takeaway is that it is still far cheaper than other options, and still just as meme-worthy. Tesla is aiming to have its early access riders complete as many rides as possible during these early months, and this pricing is still very reflective of that.
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