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Tesla Model Y test ride: first impressions of Tesla’s latest 7-seat SUV (VIDEO)

(Photo: Gene Liu/Teslarati)

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Tesla has unveiled the Model Y, a seven-seater, 300-mile, all-electric SUV that is expected to be even more popular than the Model 3. Similar to the Model 3 unveiling, Tesla offered test rides in the Model Y after the event. Teslarati was able to acquire a slot for the SUV’s test rides.

Here’s how the test ride went.

Elon Musk has already stated that the SUV shares around 75% of its components with the electric sedan. From the exterior to the interior of the Model Y, it is evident that the vehicle is derived from its sedan sibling. The exterior is pretty much a bulkier version of the Model 3, while the interior shares the 3’s sleek dashboard that’s dominated by a 15″ touchscreen. The vehicle is pretty roomy too, as the test driver was around 6’2″ and there was ample headroom.

A look at the rear of the vehicle shows some classic Tesla cues. The second-row seats could seat three, and similar to Tesla’s other electric cars, there is ample legroom. The third-row seats, which can accommodate two, were folded down during the test drive. It remains to be seen how comfortable the third-row seats would be for adults, though considering the space on the vehicle, the last row could prove to be a pretty tight fit. Perhaps the Model Y’s third-row seats could serve a similar purpose as the Model S’ rear-facing jump seats, which are optimized for children.

The ride itself is very characteristic of Tesla, being quiet and smooth. The car seems to handle just like the Model 3, as it was nimble and responsive to the driver’s input. The iconic Tesla acceleration was there, thanks to the test unit’s dual motor AWD configuration. There was also very little body roll despite some spirited driving maneuvers. Based on how the Model Y handled imperfections on the road, the vehicle seemed like it was equipped with coil springs, similar to the Model 3.

Particularly notable is how well the Panoramic glass roof worked with the Model Y’s SUV form factor, allowing a full, unobstructed view of the sky. It should be noted that the glass roof does not have a center cross member such as the one found in the Model 3, effectively making the Model Y’s glass roof arguably the most stunning in Tesla’s lineup. Teslarati was told that this would make it to production.

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Tesla Chief Designer Franz von Holzhausen addresses The crowd at the Model Y event. (Photo: Gene Liu/Teslarati)

The Model Y was pretty much what the Tesla community expected. It might not have too many bells and whistles (the glass roof is amazing though) but it represents a notable balance between features and practicality. Tesla would likely not run into production issues with the Model Y, thanks to its similarities with the Model 3 and the lessons the company learned from its past production ramps. At this point in Tesla’s history, the Model Y is a perfect vehicle to release, as it is reasonably-priced, and perhaps most importantly, not too difficult to produce.

The Model Y comes in four variants: the Standard Range, Long Range, Dual Motor AWD, and Performance versions. The Standard Range version is capable of going 230 miles on one charge, while the Long Range version goes 300 miles per charge. Both the Dual Motor AWD and Performance Model Y get 280 miles between charges.

The Model Y will enter production in Fall 2020, with Tesla producing the Standard Range version in Spring 2021. The Model Y starts at $39,000 for the Standard Range version and $47,000 for the Long Range variant. The Dual Motor AWD costs $51,000, and a Performance version will be priced at $60,000.

Watch Teslarati‘s test ride in the Model Y in the video below.

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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