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Tesla has world’s 7th largest supercomputer by GPU count: AI lead

Credit: Tim Zaman/Twitter

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Tesla AI Infra & AI Platform Engineering Manager Tim Zaman recently stated that the electric vehicle maker now has the world’s seventh largest supercomputer by GPU count, and that’s even before the company deploys its custom Dojo supercomputer. The massive graphics supercomputer hints at Tesla’s focus on its data and computing-intensive projects, such as Autopilot and Full Self-Driving. 

Zaman posted Tesla’s new hardware on social media platforms such as Twitter and LinkedIn. In his post, the AI and Autopilot lead noted that the EV maker is sponsoring the MLSys Conference. He then stated that Tesla had upgraded its GPU supercomputer to 7,360 A-100(80GB) GPUs. This effectively makes Tesla’s supercomputer one of the world’s largest by GPU count. 

As noted in a Data Center Dynamics report, the A100 GPUs are produced by Nvidia, which, interestingly enough, was where Zaman worked prior to his employment at Tesla. Each processor has 80 GB of graphics memory and boasts a memory bandwidth of 2 TB per second. That’s some serious hardware, though such power (and likely more) is needed for Tesla’s ambitious projects. 

Tesla’s current supercomputer is a precursor cluster for Dojo. Interestingly enough, Tesla noted last year that the company’s pre-Dojo supercomputer was already the fifth most powerful in the world with its 5,760 Nvidia A100s. The company appears to have added about 1,600 GPUs to the system since then, or about 27%. 

Since Tesla’s Dojo supercomputer is designed in-house, the massive machine will not be reliant on Nvidia A100 chips. Instead, it would utilize Tesla’s custom D1 chip, which will be supported by FP32, BFP16, and CFP8. Dojo would be optimized for machine learning workloads, particularly Tesla’s Autopilot and Full Self-Driving efforts. With Dojo in the picture, improvements in Autopilot and FSD would likely be accelerated. 

What’s quite remarkable about Dojo is the fact that its beastly specs are really designed to do just one thing — make autonomous vehicles possible. During the AI Day presentation last year, Tesla highlighted that Dojo is a pure learning machine with more than 500,000 training nodes built together. Tesla also highlighted that Dojo is a work in progress, so even the impressive specs and features that the company teased in AI Day will be improved when the supercomputer is deployed. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Roadster’s new patent preps white-knuckle speeds, keeping it grounded

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Credit: @BLKMDL3/Twitter

Ahead of its highly anticipated unveiling, Tesla’s upcoming Roadster received a new patent that aims to keep it grounded while enabling white-knuckle speeds.

The patent, which was granted on September 29, is titled “Electric Car Fan,” bluntly stating its design but not its purpose, which is further detailed in the text of the application. Interestingly, it comes two weeks before the Roadster event, which was delayed due to unfavorable weather on Thursday, which could cause issues, as Tesla revealed the event must be held outdoors.

The purpose is to solve a problem that is relatively unique to high-performance electric cars. Instant motor torque is useless if the tires cannot plant that force, and conventional wings and underbody tunnels generate downforce only when air is already rushing past the car. At launch, in slow corners, and under hard braking from modest speed, passive aerodynamic additions contribute essentially very little to downforce.

Tesla’s filing says that its fans can produce the downforce needed, independent of vehicle velocity, then ease off so the same hardware does not pile on drag at highway speeds, an issue that can come from excessive body modifications.

The hardware outlined in the patent is a ducted-fan package that is placed into the rear of the vehicle. An underbody inlet between the rear wheels feeds a duct that rises to a wide outlet in the diffuser. In that outlet are four axial fans, which are divided by vertical strakes. They will pull air from under the floor and press the chassis onto the pavement.

The language in the patent claims it can cut drag rather than add to it while simultaneously increasing downforce.

Tesla Roadster event requires restricted airspace, and the FAA obliges

The fans run from the high-voltage battery and a vehicle control system, so output can be modulated rather than left on as a fixed penalty.

There are additional strengths that can come from this design, like extra tire load at low speed, which can contribute to even more face-melting acceleration rates, decrease stopping distance, and sharper turn-in before a wing has air to work with. Adjustable fan speed lets the car add grip only when needed, so it can be catered to the force of a turn or acceleration.

These designs were previously used, and banned, in some competitive settings. The Brabham BT46B was banned in F1 competition for using a similar fan design and being labeled as too effective.

Tesla still lists the Roadster as having a sub-two-second 0-60 MPH time and a 250-plus-MPH top speed, and there are expectations for a SpaceX cold-gas thruster package that could not only increase acceleration but potentially cause the vehicle to hover.

It is important to note that a patent is not a production part, and packaging four fans in a rear diffuser, managing noise, and potential debris are all things Tesla must consider. With that being said, the patent being granted shows Tesla is designing the Roadster to go fast, but it is also attempting to use unique strategies to combat any issues it might have at those speeds.

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Investor's Corner

Tesla showrooms picked clean ahead of Q3 end as demand looks strong

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Credit: @thaichiminh1907/X

Tesla (NASDAQ: TSLA) showrooms have been picked clean ahead of the end of the third quarter of the year, as demand looks to be strong and delivery estimates for new vehicles are pushed into late 2026 and early 2027.

Tesla appears to have sold out of many of its Model 3 and Model Y trim levels in the United States, as only the Model Y RWD and Model Y All-Wheel-Drive are available for delivery before the end of the year.

Additionally, many showrooms are either completely empty or void of all but just one demo unit within the buildings themselves in an effort to bolster what could be one of Tesla’s best quarters in vehicle deliveries in recent memory.

Additionally, when I spoke to the guys at Tesla Mechanicsburg two weeks ago, when I returned the Model Y L, their third hauler of the week had just arrived, and every vehicle on it, along with every vehicle in their delivery lot, was accounted for and had a name attached to it for delivery.

Tesla saw a 25 percent increase in deliveries in Q2 compared to the same quarter the year before. The vast majority of the 480,126 units it delivered, 467,762 vehicles to be exact, were the Model 3 and Model Y.

In Q3 2025, Tesla delivered 497,099 vehicles, once again a figure that was dominated by the company’s two mass-market vehicles. Analysts have unusually wide predictions for this quarter, likely because so many firms missed the Q2 delivery figure by such a substantial margin; Wall Street predicted 408,000 cars, while Tesla delivered 480,000.

Goldman Sachs has Tesla slotted for 435,000 deliveries in Q3, while JPMorgan said it anticipates 482,000. The median guess is about 449,000 deliveries for Q3.

Interested in ordering a Tesla? Use my referral code for three free months of Full Self-Driving (Supervised) here.

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Lifestyle

Watch Tesla’s “guardian angel” FSD feature take over for collision evasion

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Tesla’s Automatic Collision Evasion feature can be seen in one of the first owner videos of it in action.

Tesla owner Spencer (@scotsrule08) posted on Monday that the feature “worked flawlessly,” saying FSD reengaged itself just as he was about to hit a curb. Ashok Elluswamy, who leads Tesla’s AI team, shared the clip and wrote, “A guardian angel always looking out for you.”

The video arrives in the middle of a staged rollout. Tesla first shipped Automatic Collision Evasion with FSD (Supervised) v14.3.9 in software update 2026.27.6 earlier this month, which Teslarati covered as it reached cars. Update 2026.27.10, which began going out on September 19, carried the feature improvements with FSD v14.3.10, according to release notes tracked by Not a Tesla App. The newer 2026.27.11 build is now reaching another wave of vehicles.


The feature only runs on HW4 vehicles, and it requires an active FSD purchase or subscription with both FSD (Supervised) and Automatic Emergency Braking enabled. HW3 owners receive FSD v14.2 Lite in the same updates, but that build does not include collision evasion.

Tesla’s release notes describe two triggers. The first is an imminent frontal collision that braking alone may not prevent, in which case the car can activate FSD to steer, brake or accelerate around the hazard. That scenario is limited to highways below 85 mph, with no pedestrians or cyclists detected and no slippery road surface. The second covers a driver who appears inattentive, such as reaching into the back seat, or who seems to have switched off FSD by accident. Spencer’s curb clip appears to fall into that second category.

Tesla plans big safety improvements for Full Self-Driving v15

Once the system takes over, the accelerator is muted and light brake input will not cancel the maneuver. Drivers need to apply firm, deliberate steering force to take back control, and the car chimes to hand control back once the danger has passed.

Elluswamy recently noted that earlier hazard prediction, faster reaction time and better collision avoidance would arrive with FSD v15, the next major version.

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