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Tesla Model S Plaid fire: Strange observations and claims to date

Credit: Gladwyne Volunteer Fire Company/Facebook

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Details about the Tesla Model S Plaid fire on Tuesday are starting to emerge. Similar to other dramatic electric vehicle fires, the details and observations emerging about the Tesla Model S Plaid fire are very interesting.

Accounts of the Model S Plaid fire have been shared by an EMT that reportedly responded to the incident, the chief fire officer for the Lower Merion Township Fire Department in Pennsylvania, and the lawyers representing the Model S Plaid owner. 

With this in mind, it is pertinent to provide a view of what each party has stated about the incident so far. Going through each statement would potentially make it a lot easier to come up with a legitimate narrative in the future, especially as official investigations into the fire conclude. That being said, here are the accounts that have been shared on the Tesla Model S Plaid fire earlier this week. 

What happened? 

The Tesla Model S Plaid caught fire in Haverford, Pennsylvania on June 29, 2021. The vehicle, which was a Plaid variant based on the remains of its rear badge, was engulfed in flames when fire crews arrived. A Facebook post from the Gladwyne Volunteer Fire Company indicated that two fire engines were deployed for the incident. Firefighters were at the scene for about three hours, though the vehicle was cooled down for almost 90 minutes to ensure that the batteries were safe. 

“Engine 24 with a crew of 7 arrived on scene simultaneously with Engine 25. Due to prior training classes on Tesla Vehicle Fire emergencies, Engine 24 laid a 5 inch supply line into the scene so that we could keep a continual water stream on the fire to extinguish the fire and cool the batteries down to ensure complete extinguishment. Engine 24 and Engine 25 both deployed hand lines to extinguish the fire, each maintained a dedicated water source and continued to cool the vehicle down for almost 90 minutes. Firefighters were on scene for just over 3 hours dealing with this emergency. Nobody was hurt in the incident, and both crews worked hard in the high heat/humidity to mitigate the incident,” the Gladwyne Volunteer Fire Company wrote

Interestingly enough, this statement, as well as the Gladwyne Volunteer Fire Company’s Facebook post about the Model S Plaid fire has been taken offline. A look at the fire department’s Facebook page and its official website would reveal that the post about the Tesla fire has now been deleted. 

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A First Responder’s Account

As the story of the Model S Plaid fire gained ground, the incident started to attract a lot of attention on social media as well. On Reddit, u/wilyson, who claimed to be an EMT who responded to the fire, noted that the report they received about the incident was downright strange. According to the EMT, the person who reported the fire stated that the car was driving uphill without an occupant while it was ablaze. The owner was reportedly nowhere to be found. This was a rather dramatic image, and it promptly fueled speculations among the anti-EV crowd about “self-driving” cars catching fire. 

Quite understandably, the EMT noted that he could not provide many details as the police are not releasing more information yet. That being said, the EMT later noted that car fires are very common and that electric vehicles are actually incredibly safe.  

The Fire Chief’s Account

As noted in a CNBC report, chief fire officer for the Lower Merion Township Fire Department in Pennsylvania Charles McGarvey stated that the Tesla Model S caught fire on Tuesday while the driver was still at the wheel of the vehicle. According to the fire chief, firefighters eventually removed the Model S Plaid to a complex to safely store it overnight. The vehicle’s owner had since taken the remains of the vehicle from the facility, as per McGarvey, and will have the car investigated independently to determine the cause of the blaze. 

The fire chief also stated that his teams had been in touch with Tesla and that some information about the incident should be made public soon. A National Highway Traffic Safety Administration spokesperson also noted that it was aware of the incident and that it is now in touch with relevant agencies and Tesla to gather more information about the fire. “If data or investigations show a defect or an inherent risk to safety exists, NHTSA will take action as appropriate to protect the public,” the NHTSA spokesperson said. The NTSB is not conducting an investigation to date. 

The Lawyers’ Account

The Model S Plaid owner’s lawyers, Mark Geragos of Geragos & Geragos in Los Angeles, and Jason Setchen of Athlete Defender in Miami, have since mobilized to share details about the incident as well. In a statement to CNBC, the attorneys stated that the Tesla owner initially noticed smoke coming from the back of the Model S Plaid. Following this, the owner reportedly tried to unlock and open the vehicle’s doors, but he ended up having to force his way out of the car as the locks seemed to malfunction. The lawyers noted that after the Tesla owner left his car, the Model S began to move on its own while flames engulfed it. 

Geragos Global attorney Ben Meiselas later posted a tweet sharing an image of the burning Model S. As per the lawyer, “Our firm & @AthleteDefender represent an exec who purchased new Tesla Plaid Model S, which was 1/250 shipped. On Tuesday it spontaneously combusted. Our client was trapped & could have died. We tried reaching out to Tesla & have been ignored so far. This is car after escape.”

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Interesting (and strange) details 

Overall, the Model S Plaid fire in PA features a number of interesting accounts that may not necessarily line up perfectly. The EMT that initially shared details about the incident mentioned that the Model S owner was nowhere to be found. The lawyers, on the other hand, shared an image reportedly taken immediately after the owner escaped, suggesting that the Tesla owner was on the scene of the blaze. As per the Model S Plaid’s Owner’s Manual, the vehicle is also equipped with a manual door release that should make it easy for occupants to vacate the car in case of an emergency. This seems to be a bit overlooked by the owner’s lawyers, who noted that their client was trapped inside the car. 

Of course, the idea of a car driving on its own uphill while being engulfed in flames is quite strange, considering that neither Tesla’s Autopilot nor Full Self-Driving suite have such features. The only function that may have worked similarly is Smart Summon, but the vehicle was burning on a public street, an area where Smart Summon should have been unavailable. 

We’ll definitely keep a pulse on this incident, as well as any details that may emerge as investigations go on, so do keep Teslarati on your radar as we follow developments in this event.

Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.

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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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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

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Credit: xAI/X

xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters. 

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

xAI’s turbine deal details

News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.

As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X. 

xAI’s ambitions 

Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”

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The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. 

xAI announced the investment round in a post on its official website. 

A $20 billion Series E round

As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. 

Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”

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xAI’s core mission

Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.

xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5. 

“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote. 

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