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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Tesla has begun to reach out to customers in the United States and is offering demo drives of the Cybertruck on an invite-only basis. @brandonhd on X shared the first invite image, and it looks like it's going out quite quickly to multiple locations that have Cybertrucks on display.
Up until now, display vehicles have been for just that – looking, but no touching. Some Tesla delivery centers and showrooms have also allowed viewers to take a seat inside and open it up, but most are still locked away behind the velvet rope.
It’s exciting to see that Tesla has begun to demo them – and it can only be so long until demo drives open up to everyone.
Advisor-led Demo
This Demo Drive is led by a Tesla Advisor – while you’re driving, the advisor will be in the passenger seat, walking you through the experience. They’ll explain steer-by-wire, off-road controls, and will introduce new-to-Tesla buyers to all the features that are currently available.
The list of locations so far for demo drives appears to be fairly limited, but we will hopefully see demo drives roll out throughout the United States, and eventually Canada too. Here is the current list of city/state locations that have seen demo drive invites.
Actually Smart Summon, the successor to Tesla’s Smart Summon feature, has been confirmed to be coming as soon as next month as per Elon Musk. Colloquially known as “ASS”, Actually Smart Summon is supposed to improve on the regular Smart Summon capabilities, which have historically used ultrasonic sensors (USS) to navigate parking lots.
We’re looking forward to Actually Smart Summon, and we’re quite excited about what other features will be unlocked once it finally shows up at our doorstep.
Vision-based Improvements
ASS is supposed to bring Smart Summon to vehicles that don’t have USS – using Tesla Vision. Most recently, Tesla has brought Autopark to vehicles without USS, and Vision-based Autopark has been a huge success. It is faster, more reliable, and smoother than the older USS-based solution. It can also park and maneuver in tighter locations.
Today, Smart Summon is sometimes useful at best, usually a party trick, or downright dangerous at worst. It’s excellent and best used in straight lines, where you have a clear line of sight of the vehicle, and can stop it if doesn’t see an obstacle.
I used Smart Summon today, just before writing this article – my 2022 Model Y (with USS) – did manage to show up just fine – in a straight-line location from where I was parked, after exiting the parking spot fairly cleanly. However, I’ve previously used Smart Summon and have had the vehicle turn towards obstacles, such as cart returns or curbs. Overall, it’s a sometimes-useful feature that has a lot of drawbacks right now.
Smart Summon is also restricted to a certain distance – and it's pretty small. The max distance is shorter than most parking lots, being only about 215 ft (65m). If you’re lucky enough to park close, it's very useful to bring your car right to you.
Actually Smart Summon
ASS will bring FSD V12-like capabilities to Smart Summon – the vehicle will primarily use Vision to drive toward you (or the location you’ve indicated). ASS has been supposed to be coming since about September 2022 and has seen many delays – we’re almost at the 2-year point today.
We’re looking forward to Actually Smart Summon being able to bring the vehicle – safely – right to you. ASS is also one of the key steps towards bringing some other cool features that Elon Musk has previously mentioned – Park Seek and Banish Autopark.
We’re also hopeful that Actually Smart Summon will increase the maximum range a vehicle can be summoned, because the current range is fairly small. Alongside Park Seek and Banish Autopark, we’re closing in on a Robotaxi-based future.
Park Seek and Banish Autopark
When the FSD v12.4 showed up, Elon also mentioned that going forward, vehicles would automatically park themselves when arriving in a parking lot – Park Seek – and that if you got out of the car at the entrance to a business, you could get it to automatically park itself in the parking lot – Banish Autopark. These are two features that are needed for Robotaxi to work – which itself is delayed to October 10th of this year. We’re looking quite forward to them – as in combination with Actually Smart Summon, Tesla has reached the cusp of vehicle autonomy.
A vehicle that arrives, driverless, at the location you’re at, then drives somewhere, parks itself there, and waits for you – is the definition of a Robotaxi.
While we’re likely to have to wait for Banish Autopark and Park Seek just a bit longer, Actually Smart Summon being around the corner is exciting! Gone will be the days of having to run out to your car when you forgot your umbrella – your car will just come right to you instead.
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