Tesla’s Senior Director of Artificial Intelligence, Andrej Karpathy, detailed the automaker’s self-driving Supercomputer that will era in Dojo. Dojo is Tesla’s 4-dimensional Autopilot training program and was first discussed in 2020 by CEO Elon Musk. Karpathy gave a 40-minute presentation regarding Autonomous Vehicles at the 2021 Conference on Computer Vision and Pattern Recognition (CVPR 2021).
Tesla has been working on its self-driving program for several years, and through that time, it has trained its Autopilot and Full Self-Driving suite by using a Neural Network to make it more accurate and robust in its movement. As a result, Tesla has established itself as one of the companies with the most robust semi-autonomous driving programs globally.
Despite this, Tesla continues to make strides to improve it even further. This started back in August 2020, when CEO Elon Musk detailed Dojo, a 4-dimensional training program that will process monumental volumes of video data. This aligns with Tesla’s recent decision to adopt a Vision-only approach in its vehicles, ditching radar in the Model 3 and Model Y.
Musk said:
“Tesla is developing a NN training computer called Dojo to process truly vast amounts of video data. It’s a beast! Please consider joining our AI or computer/chip teams if this sounds interesting.”
For a long time, Tesla has worked with what Musk called “just been like 2D.” He said that the 4D system would work tremendously better since it’s basically video.
During the Q2 2020 Earnings Call, Musk said:
“So what we’ve been doing, thus far, has really just been like 2D — mostly 2D, and like I said, well correlated in time. So just hard to convey just how much better a fully 4D system would work — does work. It’s capable of things that if you just look — looking at things as individual pictures as opposed to video — basically, like you could go from like individual pictures to surround video, so it’s fundamental. So the car will seem to have just like a giant improvement.”
Now that Tesla is moving closer to the completion of Dojo, Karpathy talked about the Neural Network, Supercomputers, and the excellent work of Tesla’s Supercomputing team.
In Karpathy’s presentation, the AI head stated that there are three main factors to get a Neural Network signal to work: Large amounts of video, clean data, and diverse scenarios to make the suite as well-rounded as possible. It is evident that through Tesla’s decision to make its two mass-market vehicles vision-based, that large amounts of data is one of the biggest factors. The Model 3 and Model Y have dominated Tesla’s sales numbers globally for some time, meaning they contribute more data to the Neural Network than the other two vehicles in Tesla’s fleet.
Now that Dojo has been in development for some time, Karpathy unveiled some details about the Supercomputer that Tesla uses for data consumption and storage. A slide in the presentation details the specifications:
- 720 nodes of 8x A100 80 GB (5760 GPUs total)
- 1.8 EFLOPS (720 nodes * 312 TFLOPS-FP16-A100 * 8 GPU/nodes)
- 10 PB of “hot tier” NVME storage @ 1.6 TBps
- 640 Tbps of total switching capacity

Credit: Yarrow B. | YouTube
Karpathy said that these specs make it “roughly the number five Supercomputer in the world” during his presentation.
Now, Dojo is still not released, and Karpathy was unwilling to comment further on the progress or any of the finer points of what will likely bring Tesla close to Level 5 autonomy. Still, there should be more details in the coming months. Tesla has stuck by the 2021 time frame for Dojo since first talking about it, so hopefully, the company will shed more detail on it during the Q2 or Q3 2021 Earnings Call.
Karpathy’s full presentation is available below.
Investor's Corner
Bank of America raises Tesla PT to $471, citing Robotaxi and Optimus potential
The firm also kept a Neutral rating on the electric vehicle maker, citing strong progress in autonomy and robotics.
Bank of America has raised its Tesla (NASDAQ:TSLA) price target by 38% to $471, up from $341 per share.
The firm also kept a Neutral rating on the electric vehicle maker, citing strong progress in autonomy and robotics.
Robotaxi and Optimus momentum
Bank of America analyst Federico Merendi noted that the firm’s price target increase reflects Tesla’s growing potential in its Robotaxi and Optimus programs, among other factors. BofA’s updated valuation is based on a sum-of-the-parts (SOTP) model extending through 2040, which shows the Robotaxi platform accounting for 45% of total value. The model also shows Tesla’s humanoid robot Optimus contributing 19%, and Full Self-Driving (FSD) and the Energy segment adding 17% and 6% respectively.
“Overall, we find that TSLA’s core automotive business represents around 12% of the total value while robotaxi is 45%, FSD is 17%, Energy Generation & Storage is around 6% and Optimus is 19%,” the Bank of America analyst noted.
Still a Neutral rating
Despite recognizing long-term potential in AI-driven verticals, Merendi’s team maintained a Neutral rating, suggesting that much of the optimism is already priced into Tesla’s valuation.
“Our PO revision is driven by a lower cost of equity capital, better Robotaxi progress, and a higher valuation for Optimus to account for the potential entrance into international markets,” the analyst stated.
Interestingly enough, Tesla’s core automotive business, which contributes the lion’s share of the company’s operations today, represents just 12% of total value in BofA’s model.
News
Tesla Model Y on FSD saves couple after encountering King of edge cases
Experts have noted that if confirmed, this could be the world’s first recorded meteorite collision involving a Tesla.
A South Australian Tesla driver is thanking his Model Y’s Full Self-Driving system after a mysterious object, possibly a meteorite, slammed into his car’s windshield while it had FSD engaged.
The impact sent hot glass fragments flying through the cabin as the vehicle continued driving without human input through the darkness. Experts have noted that if confirmed, this could be the world’s first recorded meteorite collision involving a Tesla.
The Tesla owner was enjoying a quiet drive home when they hit the king of edge cases
Veterinarian Dr. Andrew Melville-Smith and his wife were traveling north on Augusta Highway on the night of October 19 when a sudden blast struck their newly delivered Model Y. At the time, it was clear, pitch black night, and Dr. Melville-Smith and his wife were just listening to a podcast while FSD was operating the vehicle, as noted in a Yahoo News report.
Suddenly, something hit the Tesla’s windshield. “Then there was, (what) I can only describe as a very, very violent explosion. The whole inside of the car was literally blasted with glass fragments. It was full of white smoke, and it smelled like the car was on fire,” Dr. Melville-Smith stated.
The vet stated that he and his wife were stunned for a good 10 seconds, and for a bit, he and his wife thought they had crashed. Images of the crash’s aftermath showed a massive crack on the Tesla’s windshield, which Dr. Melville-Smith noted was hot to the touch. The object that hit the Tesla’s windshield was so hot that part of the vehicle’s windshield was partly melted.
FSD kept driving despite the possible meteorite strike
Thankfully, the Tesla was operating with its FSD (Supervised) system engaged at the time. Thus, despite the vehicle being hit by what might be a literal meteorite, and despite Dr. Melville-Smith and his wife being stunned because of the impact, their Tesla just kept driving steadily.
“I thought we’d had an accident, but then I looked at the screen and went ‘Oh, we’re still driving. We were moving around, so it obviously thought we were paying attention, and it was happy to keep driving to Port Augusta. After we pulled over, we saw the big crater in the windscreen,” the vet said.
The South Australian Museum is now examining the case, with geologist Dr. Kieran Meaney stating the scorched glass and heat damage do suggest a potential meteorite strike. “The little detail that’s really selling it for me at the moment is that whatever it was that hit the windscreen seems to have been very hot,” Meaney explained. However, the object has yet to be recovered.
Check out a video of the remarkable edge case below.
News
“Foundation:” Elon Musk wants to send a record of Grokipedia to space
The idea sounds outlandish, though it is also something that is in character for the CEO.
Elon Musk has announced one of his latest initiatives, and it is every bit as sci-fi as it is surprisingly grounded. In a post on X, Musk stated that Grokipedia, xAI’s new open-source encyclopedia, will be etched into stable oxide and launched into space.
The idea sounds outlandish, though it is also something that is in character for the CEO.
Preserving human knowledge among the stars
Musk posted his plan following the launch of Grokipedia’s V0.1’s iteration. The CEO congratulated the xAI team for the online encyclopedia’s launch, though he also stated that the goal for Grokipedia is to create an open-source collection of knowledge. This would then be distributed to the cosmos.
“Nice work by the xAI team on Grokipedia! The goal here is to create an open source, comprehensive collection of all knowledge. Then place copies of that etched in a stable oxide in orbit, the Moon, and Mars to preserve it for the future. Foundation,” Musk wrote in his post.
While seemingly outlandish, this is not the first time that a record of human knowledge of sorts was sent out to space. In 1977, the Voyager Golden Record was launched aboard NASA’s Voyager 1 and 2 spacecraft. The record contains sounds and images that ere aggregated to portray the diversity of the Earth’s culture. Of course, Musk’s plan with Grokipedia, is infinitely more ambitious.
Grokipedia and AI neutrality
Musk launched Grokipedia as an AI-driven alternative to Wikipedia, designed to eliminate the human biases that could affect conventional online knowledge platforms. The system is powered by xAI’s Grok, which scrape and summarize information from across the internet, offering balanced and nuanced coverage of topics ranging from science and technology to culture and politics.
Unlike Wikipedia’s human-edited format, Grokipedia would be able to evolve through machine learning, reading vastly more material than any editorial team could. Early testers, including Wikipedia co-founder Larry Sanger, praised its initial version as “very OK” and potentially more neutral than Wikipedia. Musk agreed, stating that even in its V0.1 form, Grokipedia is “already better than Wikipedia.”
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