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.
Tesla teased its entrance into a new market with a confusing and what appeared to be cryptic message on the social media platform X.
The company has been teasing its entrance into several markets, including Africa, which would be a first, and South America, where it only operates in Chile.
In September, Tesla started creating active job postings for the Colombian market, hinting it would expand its presence in South America and launch in a new country for the first time in two years.
The jobs were related to various roles, including Associate Sales Manager, Advisors in Sales and Delivery, and Service Technicians. These are all roles that would indicate Tesla is planning to launch a wide-scale effort to sell, manage, and repair vehicles in the market.
Last night, Tesla posted its latest hint, a cryptic video that seems to show the outline of Colombia, teasing its closer than ever to market entry:
— Tesla North America (@tesla_na) November 12, 2025
This would be the next expansion into a continent where it does not have much of a presence for Tesla. Currently, there are only two Supercharger locations on the entire continent, and they’re both in Chile.
Tesla will obviously need to expand upon this crucial part of the ownership experience to enable a more confident consumer base in South America as a whole. However, it is not impossible, as many other EV charging infrastructures are available, and home charging is always a suitable option for those who have access to it.
Surprisingly, Tesla seems to be more concerned about these middle-market countries as opposed to the larger markets in South America, but that could be by design.
If Tesla were to launch in Brazil initially, it may not be able to handle the uptick in demand, and infrastructure expansion could be more difficult. Brazil may be on its list in the upcoming years, but not as of right now.
News
Tesla expands crucial Supercharging feature for easier access
It is a useful tool, especially during hours of congestion. However, it has not been super effective for those who drive non-Tesla EVs, as other OEMs use UI platforms like Google’s Android Auto or Apple’s iOS.
Tesla has expanded a crucial Supercharging feature that helps owners identify stall availability at nearby locations.
Tesla said on Tuesday night that its “Live Availability” feature, which shows EV owners how many stalls are available at a Supercharger station, to Google Maps, a third-party app:
Live availability of Superchargers now in Google Maps pic.twitter.com/DJvS83wVxm
— Tesla Charging (@TeslaCharging) November 11, 2025
Already offering it in its own vehicles, the Live Availability feature that Teslas have is a helpful feature that helps you choose an appropriate station with plugs that are immediately available.
A number on an icon where the Supercharger is located lets EV drivers know how many stalls are available.
It is a useful tool, especially during hours of congestion. However, it has not been super effective for those who drive non-Tesla EVs, as other OEMs use UI platforms like Google’s Android Auto or Apple’s iOS.
Essentially, when those drivers needed to charge at a Supercharger that enables non-Tesla EVs to plug in, there was a bit more of a gamble. There was no guarantee that a plug would be available, and with no way to see how many are open, it was a risk.
Tesla adding this feature allows people to have a more convenient and easier-to-use experience if they are in a non-Tesla EV. With the already expansive Supercharger Network being available to so many EV owners, there is more congestion than ever.
This new feature makes the entire experience better for all owners, especially as there is more transparency regarding the availability of plugs at Supercharger stalls.
It will be interesting to see if Tesla is able to expand on this new move, as Apple Maps compatibility is an obvious goal of the company’s in the future, we could imagine. In fact, this is one of the first times an Android Auto feature is available to those owners before it became an option for iOS users.
Apple owners tend to get priority with new features within the Tesla App itself.
Elon Musk
Elon Musk’s Boring Co goes extra hard in Nashville with first rock-crushing TBM
The Boring Company’s machine for the project is now in final testing.
The Boring Company is gearing up to tackle one of its toughest projects yet, a new tunnel system beneath Nashville’s notoriously tough limestone terrain. Unlike the soft-soil conditions of Las Vegas and Austin, the Music City Loop will require a “hard-rock” boring machine capable of drilling through dense, erosion-resistant bedrock.
The Boring Company’s machine for the project is now in final testing.
A boring hard-rock tunneling machine
The Boring Company revealed on X that its new hard-rock TBM can generate up to 4 million pounds of grip force and 1.5 million pounds of maximum thrust load. It also features a 15-filter dust removal system designed to keep operations clean and efficient during excavation even in places where hard rock is present.
Previous Boring Co. projects, including its Loop tunnels in Las Vegas, Austin, and Bastrop, were dug primarily through soft soils. Nashville’s geology, however, poses a different challenge. Boring Company CEO and President Steve Davis mentioned this challenge during the project’s announcement in late July.
“It’s a tough place to tunnel, Nashville. If we were optimizing for the easiest places to tunnel, it would not be here. You have extremely hard rock, like way harder than it should be. It’s an engineering problem that’s fairly easy and straightforward to solve,” Davis said.
Nashville’s limestone terrain
Experts have stated that the city’s subsurface conditions make it one of the more complex tunneling environments in the U.S. The Outer Nashville Basin is composed of cherty Mississippian-age limestone, a strong yet soluble rock that can dissolve over time, creating underground voids and caves, as noted in a report from The Tennessean.
Jakob Walter, the founder and principal engineer of Haushepherd, shared his thoughts on these challenges. “Limestone is generally a stable sedimentary bedrock material with strength parameters that are favorable for tunneling. Limestone is however fairly soluble when compared to other rack materials, and can dissolve over long periods of time when exposed to water.
“Unexpected encounters with these features while tunneling can result in significant construction delays and potential instability of the excavation. In urban locations, structures at the ground surface should also be constantly monitored with robotic total stations or similar surveying equipment to identify any early signs of movement or distress,” he said.
Tesla teases new market entrance with confusing and cryptic message
Tesla expands crucial Supercharging feature for easier access
Elon Musk’s Boring Co goes extra hard in Nashville with first rock-crushing TBM
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