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!
Tesla’s VP of Charging, Max de Zegher, recently confirmed on X that the first 500kW Supercharger sites are coming soon. These next-generation chargers will not only support the Cybertruck charging at 500kW, but they’ll also be more cost-effective to deploy than previous models.
Late last year, Tesla indicated plans to accelerate Supercharger deployments, with many future locations featuring V4 cabinets. Some sites are already being equipped with V4 posts, offering improved charging capabilities, but the V4 cabinets allow Tesla to get even more power to each stall.
500kW Charging
Tesla recently enabled 325kW charging for the Cybertruck at compatible Superchargers across North America - specifically those with V4 posts and V3 cabinets, which are typically referred to as V3.5 Superchargers. The upcoming V4 Superchargers will also have a V4 cabinet, which will take this even further—delivering up to 500kW per stall.
While the increase to 325kW has already improved charging times by approximately 3–5 minutes, depending on the vehicle’s state of charge (SoC), the jump to 500kW is expected to have an even greater impact. With this upgrade, the Cybertruck could potentially charge from 10% to 80% SoC in under 30 minutes—an impressive feat for a vehicle with a massive 123kWh battery pack.
The vehicle’s ability to maintain a high level of charge current can make an even larger difference, so we’ll have to see what the charge curve looks like at these new 500kW chargers.
One of the biggest advantages of the V4 cabinet is its streamlined design. It can power up to eight charging posts—twice as many as the V3 cabinet—reducing site complexity and minimizing the amount of electrical work needed between the cabinet and the posts. This results in a smaller footprint and a more efficient installation process.
Tesla has optimized deployments by pre-mounting Supercharger posts on factory-made concrete bases, making them ready for quick installation. With this approach, Tesla is able to install each post for less than $40,000, according to Max de Zegher.
This is a fraction of the $225,000 per stall cost recently revealed in a contract awarded to Revel Charging. This massive price difference benefits both Tesla and site owners, allowing for faster and more cost-effective network expansion.
Lower costs also mean potential savings for customers, who will enjoy cheaper and faster charging. With the first full V4 sites set to roll out soon, it will be exciting to see how quickly the Cybertruck can charge. Looking ahead, future Tesla vehicles with 800V high-voltage architecture could also take advantage of these next-generation charging speeds.
Supercharging is fast and convenient, but there are times when a station reaches full capacity, requiring drivers to wait for an available stall. When there are only a few vehicles in line, the wait is minimal, and figuring out whose turn it is to charge is straightforward. However, long queues can form during peak travel times or in high-traffic areas, leading to confusion and frustration as vehicles cut the line.
Currently, there is no official system for managing Supercharger queues—drivers rely on informal, self-organized lines. While many follow an unspoken order, disputes can arise when some claim they arrived first or attempt to cut ahead.
Urban Superchargers in cities like Toronto, Los Angeles, and New York often see long lines during busy hours, with drivers doing their best to maintain order. A structured queuing system could help streamline the process, reducing conflicts and ensuring a fair, organized charging experience for all, and that’s exactly what Tesla is about to implement.
Virtual Queue
The Tesla Charging account on X has confirmed that it plans to introduce a Virtual Queuing system, with a pilot program set to launch at select Supercharger sites next quarter. While Tesla has yet to specify which locations will be included, it’s likely the initial rollout will take place in the United States, where the company typically begins testing new charging initiatives.
Tesla says that if the pilot program receives positive feedback, they will expand the system to more Superchargers this year.
The goal of Virtual Queuing is to improve the charging experience whenever wait times occur. According to Tesla, this would apply to roughly “~1% of cases,” though many high-demand Supercharger sites frequently experience long lines. While some remote locations may see little to no wait times, busier stations could greatly benefit from a structured queuing system.
Potential Implementations
While Tesla hasn’t detailed exactly how the Virtual Queuing system will work, there are a few likely possibilities. One approach could involve locking a vehicle’s VIN into the queue, preventing other vehicles from starting a charge prematurely. In this case, any attempt to charge out of turn might trigger a “Stall reserved for next vehicle in line” message.
This method would provide a straightforward solution—only the next vehicle in the queue would be able to initiate a session. The queuing process itself could be automated when a vehicle navigates to the Supercharger, factoring in estimated arrival time, or it might require manual enrollment once you arrive.
Tesla may also impose limits on queue validity. If a vehicle leaves the charging area, its position could be automatically forfeited.
Software Solution
In China, Superchargers sometimes include locks that come up from the ground, preventing non-Teslas from parking in these designated Supercharger spots. Up until recently, Tesla users had to open up the Tesla app and choose a stall before the lock would go down and allow them to park. However, with a recent update, this is all done on the vehicle’s screen, where the driver can pick the charging stall and automatically have the lock lower.
We may see a similar implementation, where a driver would choose to add themselves to the Supercharger queue, and their position in line and estimated wait time would then be viewable on the vehicle’s screen.
Reservation Signage
Tesla’s reservation about this new queuing system could be around driver confusion. Superchargers weren’t built with a queue system in mind, meaning that there’s no way to tell whether a stall is reserved for a specific vehicle.
A physical indicator could help owners quickly identify when a Supercharger stall is available for the next vehicle in the queue. Tesla could implement a system similar to grocery store checkout lights, where a change in lighting signals whether a register is open or closed.
For example, the Supercharger post could pulse blue when it’s ready for the next user, with a corresponding message in the vehicle stating, “Use the Supercharger post that is pulsing blue.” This would provide a clear, intuitive way to direct drivers to the correct stall.
Tesla can also display a menu inside a vehicle when it first arrives at a Supercharger, letting the driver know that there’s a wait time and explaining the process and their estimated wait time. It can also prompt the driver to be added to the queue.
Tesla Priority
Another factor to consider is how Tesla will handle non-Tesla vehicles in the queue. One possibility is giving priority access to Tesla owners or those subscribed to the Supercharger membership. This would ensure that Tesla vehicles and paying members receive preferred access at busy Supercharger sites, making the membership more valuable while also incentivizing Tesla ownership—especially as the network expands to other EV brands.
Regardless of whether Tesla introduces priority access, the Supercharger queuing system will be a valuable addition, particularly in high-traffic urban locations and during peak travel seasons. By having an official queue Tesla will create a smoother and more organized charging experience for all users.
![Tesla Cybertruck Earns 5-Star Safety Rating in NHTSA Crash Tests [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/cybertruck/cybertruck-crash-test-1.jpeg/9453a19b7592aeaaec42228dab574527/cybertruck-crash-test-1.jpg)
_300w.png)
