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Porsche Taycan debut set for September 4, top facts about upcoming sports EV emerge

A render of the Porsche Taycan's production version. (Photo: Dee/TaycanForum.com)

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Porsche has confirmed that the formal debut of its first modern all-electric car, the Taycan, is set for September 4, 2019 at 9 a.m. EST. The vehicle will be launched at three locations: one in Canada, one in Germany, and another in China. With the Taycan’s launch, Porsche would be breaching a premium EV market that is so far dominated by Tesla and increasingly populated by veteran automakers such as Jaguar, Audi, and Mercedes-Benz. 

The Taycan’s unveiling is only a few weeks away, and Porsche has been notably more open about giving access to its highly-secretive vehicle to the media. So far, the vehicle has been received extremely well. Fifth Gear presenter and Fully Charged host Jonny Smith, for one, was allowed to test the repeatability of the Taycan Turbo’s maximum performance during launches. The vehicle proved impressive for the host, as he was able to launch at max power 26 times with nary a drop in the car’s 0-60 mph performance. 

Motoring publication Car and Driver was also able to experience the Porsche Taycan Turbo. Together with Porsche product line director for EVs Robert Meier, the publication was able to get some unique insights on the upcoming vehicle. The Taycan pre-production prototype, behind all its camouflage, was equipped with active anti-roll bars, carbon-ceramic brake rotors, rear-wheel steering, air springs, and a 21″ wheel and tire setup. 

During Car and Driver‘s ride-along, Meier noted that the Taycan, thanks to its floor-mounted battery pack, actually has the lowest center of gravity in the company’s entire lineup. Comfort was a key portion of the Taycan’s development process as well, considering that the vehicle will be marketed as a four-door sedan that’s a step beneath the Panamera (and in turn, the Tesla Model S) in size. Highlighting the Taycan’s quickness, the Porsche executive noted that the vehicle will not see a drop in performance even when the battery is discharged past 50%. 

Also notable is that the Taycan, unlike Tesla’s offerings like the Model 3 Performance, features a two-speed gearbox on its rear axle. This marks one of the first times that a production EV will be equipped with a two-speed gearbox, and it should provide a sizable benefit in both performance and efficiency. It would be interesting to see how Porsche manages the Taycan’s gearbox, considering Tesla’s experience with the original Roadster. During Tesla’s early days, the company equipped the original Roadster with a two-speed gearbox, but the components just kept breaking since the gearboxes could not handle the punishment from the vehicle’s electric motor. 

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Porsche states that the Taycan will have a range of 500 km (311 miles), though Car and Driver notes that this figure is based on the European NEDC cycle, which is far more generous than the more stringent and real-world accurate EPA cycle. During its ride-along with the vehicle, the publication noted that the Taycan showed a predicted 234 miles of range on a full charge, which reportedly seemed accurate considering that the trip’s route consisted of twisty mountain roads and 70-mph highway cruising. Meier’s comments to the publication’s team about being “conservative” with the Taycan’s range figure further adds to the idea of the vehicle having a US range rating that’s likely closer to 200 than 300 miles. 

The Taycan has other notable quirks, including, but not limited to, two charging ports, its lack of one-pedal driving, and its sound, which could be heard especially at low speeds. This was particularly audible during Fully Charged host Jonny Smith’s first drive of the vehicle. With its low, bass-filled whine, the Taycan sounds not unlike those futuristic vehicles in sci-fi films.

Watch Fully Charged‘s experience with the Porsche Taycan Turbo 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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