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Tesla taps new glass supplier for Plaid Model S

Credit: Tesla

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This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.


Tesla has tapped a new type of automotive glass from supplier AGP for the Plaid Model S, invoking the thought that everything, even the finest details of the vehicle, was considered a possible improvement for the company’s rebirth of the all-electric, flagship sedan.

Many months ago, Teslarati stumbled across a list of Tesla’s suppliers through international connections. These suppliers were shipping massive volumes of whatever product they were giving to Tesla on cargo ships, and we noticed that there was a company called AGP that was shipping windshields and other automotive glasses to the company’s Fremont Factory.

It turns out that AGP has been providing Tesla with automotive glass for several years. Back in 2016, AGP provided glass for the Model X’s panoramic roof and windshields. However, Tesla utilized AGC Automotive’s windshields for its cars, according to Investopedia.

AGP is a Peru-based company that specializes in all types of automotive glass, but what they’ve done for Tesla is especially interesting. The company has been in business for 50 years, but just like everything else, it changes, and the automotive industry is no different. As electric vehicles have become more mainstream, technologies surrounding the development of these new, sustainable automobiles are popping up left and right. AGP’s eGlass for electric and autonomous vehicles is no different.

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Now, AGP says on its website that it collaborates “closely with the companies that are leading the new wave of the electric and autonomous vehicles of tomorrow.” When I first stumbled across AGP many months ago on the cargo ship list for Tesla, there was no indication that there was an official partnership, so I looked into it a tad further. I reached out to AGP and received a response that thanked me for my inquiry but refused to confirm or deny whether it was in any sort of professional relationship with Tesla. Ironically, AGP gave the answer we needed, because responding to me was all I needed to know.

Many may ask, “What’s the significance of what glass Tesla is using on its cars?” There are plenty of automotive glass suppliers out there that are worth their weight in gold, providing high-quality windshields and windows for vehicles on the road. Of course, consumers are going to want something that is relatively high quality, because nothing is worse than driving behind a tractor-trailer on the Interstate, just to have a chip or small crack on your windshield from something as tiny as a pebble. While strength is undoubtedly a need for all windshields, EVs require a slightly different bit of development.

One of the biggest focuses for EVs is their drag coefficient. Why is it so important? Because aerodynamics are crucial to the performance, range, and effectiveness of electric vehicles. As high-quality, long-range batteries are hard to come by in the EV sector, manufacturers look for every advantage they can get to achieve robust range ratings. While Tesla is the leader in EV range figures, the company is still looking for ways to get all of its vehicles to or near the 400-mile threshold.

Aerodynamics are a great way to do that. And Tesla undoubtedly worked extremely hard to achieve the best-in-class drag coefficient of .208, beating out the Lucid Air’s impressive .21 coefficient.

We knew aerodynamics was going to be a big part of the Plaid Model S when it was spotted at the Nürburgring two years ago. The vehicle was sporting a large spoiler, a huge rear diffuser, and the new eGlass from AGP is just another addition to Tesla’s attempts to make the Plaid Model S the most aerodynamic vehicle in its lineup.

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A blue Tesla Model S Plaid unit with new aeros attacks the Nurburgring. (Photo: Stefan Baldauf/Auto Motor Uund Sport)

We finally confirmed that AGP was providing the highly aerodynamic and EV-specific automotive glass to the Model S Plaid thanks to Tesla Raj, who took a picture of the manufacturer’s sticker on the window of the all-electric sedan at Tesla’s Delivery Event on June 10th. This all confirmed Teslarati’s discovery of AGP in its supplier list several months ago and also confirmed that the two companies had a partnership, despite AGP’s unwillingness to provide a comment (which we understood why!)

It makes me think about what Elon Musk may have needed to work on for the final week of Plaid development. When he had announced that the event was going to be delayed a week due to “tweaks,” I wondered whether it was software or hardware. While it was likely a software fix that needed to be addressed, it could have been related to the drag coefficient, which Tesla proudly displayed at the Plaid Event on the 10th. Nevertheless, the vehicle has finally been released to pre-orderers, and the fastest production car that has ever run the 1/4-mile drag is here, and it’s taking down anything in its path.

A big thanks to our long-time supporters and new subscribers! Thank you.

I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!

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-Joey

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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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