News
Tesla is primed for Formula E while its rivals are working in reverse
Tesla and Formula E: Will it ever happen? Probably not. At least, that’s what Elon Musk says, and he believes that production and scalability are more important. For the global EV scene, they certainly are, while professional motorsports are really just a trivial part of what Tesla does. While the company does build and create some of the fastest and highest-performing cars on Earth, it has no intentions of bringing them to a track or becoming a car company dedicated to winning shiny trophies. However, this didn’t stop other car companies from adopting different strategies.
Some companies, like BMW and Audi, for example, did their work in reverse. Years ago, when the Formula E Series became a real thing, these two companies were among the first to build a single-seat, all-electric powertrain that was extremely similar to the blazing fast F1 circuit. The only difference was that these new, sustainable racecars weren’t blaring loud motors for everyone to hear.
Instead of developing mass-market vehicles that would benefit the company in a multitude of ways, these automakers chose to work in reverse. Not focusing on building a reliable EV software infrastructure or production facilities to manufacture them in, German car companies went to their roots and focused o a few fast cars that would compete on the weekends at some of the toughest circuits in the world. But the problem is, they could have killed two birds with one stone by doing things in the correct order, which brings me to my next point: Tesla is already primed for Formula E, and it never had any intentions of competing.
A recent article from Bloomberg shows that BMW has decided to officially scrap its Formula E team at the end of this season, shifting its focus from racing and toward an intensifying EV market. The money it will save from not focusing on turning out fast laps at world-famous circuits will now be dedicated to developing EVs for consumers.
In the time that BMW has been racing in Formula E, it has only released one car: the i3, a boxy, widely unpopular car aesthetically. With plans to launch the iX, which it unveiled just last month, there are plenty of opportunities to establish a competitive lineup of all-electric cars in the future. But the focus has been all wrong from the start.
BMW didn’t have an overwhelmingly successful time in Formula E. Since it started racing in the series, which held its first race seasons ago, it has won only four races. But the company stated that it has “exhausted the opportunities to transfer Formula E’s pioneering racing technologies into passenger models.”
This is where the order of development may have been more advantageous for BMW. Now that their Formula E run is over, they have nothing to base passenger models off of, which pretty much puts them at square 1 if you take into account the i3 is not a widely popular or successful EV, to begin with.
This is where Tesla gains a real advantage in a hypothetical scenario where it would build cars for a racing series. Tesla has passenger vehicles now that could compete in several racing series, and other cars that actually have competed in racing forums like the Pikes Peak Hill Climb.
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For example, the Roadster is 0-60 in 1.9 seconds, has a quarter-mile acceleration of 8.8 seconds, and seats four people. The powertrain is already powerful enough to compete in some racing circuits, but if Tesla were to refine it slightly and build a new, more reliable chassis that would benefit racing scenarios, there is no reason that the Next-Gen Roadster wouldn’t be extremely competitive in some racing series.
The Model S Plaid is another example. It has broken multiple records, including one at the Nürburgring in Germany (which is unconfirmed) and the Laguna Seca Raceway in California. It already has the handling, speed, and downforce to take on tough tracks that are windy and difficult to maneuver. It would just take some minor refinements to make it a “racecar.”
This is where Tesla gains a significant advantage in its structure. It is irrelevant whether the company will actually race some of its cars or not, but it would be ready today if it chose to. Meanwhile, other car companies decided to build racecars first, and after seven years of R&D, they have nothing that would contribute to a highly-effective passenger car. It is like baking a cake before putting any of the ingredients together.
It doesn’t bode well for these foreign automakers, either. Unfortunately for them, Tesla is pulling away. Every day, it seems like the company is improving in range or performance or battery tech that makes its lead in the EV sector a little bit bigger than before. Now, it has four passenger cars on the road: Two sedans, a crossover, and an SUV. It has a Supercar on the way, a truck coming in the next year, a Semi that will be launched shortly. The list goes on and on, it seems, and if Tesla wanted to race a car this weekend and be competitive, it could.
It almost sounds like the priorities of these highly-complex German car companies were simply out of line. They chose to do the fun stuff first instead of focusing on the real task at hand: Getting gas cars off the road and putting electric ones on it. Instead of worrying about the issues surrounding the manufacturing processes of EVs, which took Tesla several years to figure out (and it is still a work in progress), BMW will be forced to make a full-scale commitment if it wants to be competitive within the next ten years. The decision it made could be detrimental to the future development of the company’s EV fleet. It certainly has its work cut out for it.
And if you’re wondering, Musk said Tesla would not get into racing. The big picture deals with manufacturing and scalability, and racing is really the last of the CEO’s concerns.
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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
