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Tesla has proven itself, but Ferrari & Lamborghini says EVs can’t be supercars
In a rather rare act of solidarity, rivals Ferrari and Lamborghini have agreed on one thing: neither one would be making an all-electric supercar in the near future. Both companies note that electric car technology is not there yet to warrant an initiative to create a born-and-bred supercar.
Citing a rather dated example for the limitations of electric cars, the supercar makers noted that true high-performance vehicles need to be capable of launching multiple times in full power, over and over again, in both straights and corners. This is a limitation that was true for vehicles like the Tesla Model S, which is a monster in straight line races but compromised in closed circuits. These issues have largely been solved in more recent vehicles like the Model 3 Performance, an all-electric car that is capable of besting other high-performance sedans on a track.
The supercar makers also noted that the lack of sound from a roaring V12 or a supercharged V8 is a great part of the supercar experience, and this is something that is mostly absent in electric vehicles. Commenting on faux engine noises pumped into the cabin similar to the ones employed in the BMW i8, Ferrari’s chief technology officer, Michael Hugo, noted at the Geneva Motor Show that “we have to have a certain credibility.”
Maurizio Reggiani, chief technical officer at Lamborghini also noted that the big battery packs required of electric cars could compromise some of the brand’s design elements. Lamborghinis are already very low on the ground, and the CTO noted that stuffing a battery pack on the floor would sacrifice the benefit of a low center of gravity that the company’s wedge-shaped supercars enjoy.
Quite interestingly, Porsche CEO Oliver Blume noted in the 2019 Annual Press Conference that emotion in cars is not just about the noise that an engine makes. It is also about design, quality, driving characteristics, and the holistic experience of driving the vehicle. Porsche is hardly a neophyte in terms of creating supercars either, with vehicles like the 919 Hybrid and the 918 Spyder under its belt, so Blume’s statement could be taken with a notable amount of legitimacy.
RELATED: Exclusive: Porsche’s electric heart beats in the Taycan’s Zuffenhausen factory
It is a bit disappointing to see Ferrari and Lamborghini dismiss electric propulsion at this stage in the game. Just last week, Germany’s big three, Volkswagen, BMW, and Daimler, all decided that electric cars are the way forward, signifying an upcoming industry shift. What is somewhat surprising from Ferrari and Lamborghini’s recent comments was the fact that the companies seemed to have completely ignored the existence of all-electric supercars that are present today.
There’s the Rimac C_Two from Croatia, which matches and even exceeds any Lamborgini and Ferrari in terms of its explosive power. There’s the Nio EP9 that conquered the Nurburgring’s records. There’s even the Pininfarina Battista, an all-electric 1,900 bhp monster that can hit 186 mph in less than 12 seconds. All of these vehicles are fully electric.
Of course, there is also the next-generation Tesla Roadster, which goes from 0-60 mph in 1.9 seconds at its base form. Elon Musk dubbed the vehicle as a “hardcore smackdown” to gasoline cars, and in terms of specs, it’s downright frightening, from its 250+ mph top speed, and its higher trims, one of which is called the “SpaceX package,” which uses literal rocket technology from Musk’s private rocket company. The Rimac C_Two is expected to start deliveries in 2020, the same year as the next-gen Roadster. The NIO EP9 has been around since 2016, and the Pininfarina Battista is expected to arrive in 2020.
So much for electric car technology not being there yet.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
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.
“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.”
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.
Elon Musk
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.
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.”
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.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
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.”
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.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
