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Elon Musk talks next-gen Tesla Roadster details: SpaceX package, annual output, and why it matters
Elon Musk’s appearance at Tesla owner-enthusiast Ryan McCaffrey’s Ride the Lightning podcast revealed a number of new details about the electric car maker’s upcoming halo vehicle, the next-generation Roadster. While addressing the all-electric supercar, Musk discussed the vehicle’s estimated yearly production numbers, its purpose, and some details about its “SpaceX package.”
Ever the candid interviewee, Musk admitted that the next-generation Roadster is really more like a dessert to the Model S, 3, X, and Y’s main course, in the way that its existence will probably not provide much of an impact to Tesla’s overall mission of accelerating the world’s transition to sustainable energy. Nevertheless, the Roadster still has a lot of merits, in the way that it could establish the superiority of pure electric propulsion compared to the internal combustion engine, bar none.
Musk noted that the Roadster is intended to outperform the best “Ferraris, Lamborghinis, and McLarens” on every dimension, on every level, including the track, thereby erasing the halo effect of gas cars. “We’re going to do things with the new Roadster that are kind of unfair to other cars. (It’s) crushingly good relative to the next best gasoline sports car,” Musk said.
One of the ways that Tesla intends to do this is to utilize the technologies of Musk’s other company, SpaceX, for the all-electric supercar’s optimizations. Dubbed the “SpaceX package,” this particular trim of the next-generation Roadster will feature cold gas thrusters to enable the vehicle to perform in ways that are practically unthought of in the past. Musk noted that these arguably sci-fi modifications to the Roadster are very feasible since all the technology is already there.
“If you have, say 3 Gs of thrust, you can go in any direction. You can go up and still accelerate upwards of 2 Gs,” Musk said.
Such levels of thrust will place the next-generation Roadster’s SpaceX package at a completely different level compared to the ’market’s most insane vehicles. The Dodge Demon, for one, made headlines when it was revealed that it was capable of pulling 1.8 Gs. The Buggati Veyron, one of the fastest cars in the market, pulls 1.55 Gs. Quite notably, the Roadster SpaceX package’s thrust will match that of the space shuttle, which also pulls 3 Gs during launch.
Inasmuch as the next-generation Roadster will be Tesla’s halo car, the CEO noted that the vehicle would likely see a production of only about 10,000 units per year. Considering the vehicle’s somewhat accessible entry-level price point at $200,000 (at least in the supercar segment), this could mean that the supply of next-gen Roadsters would likely be constrained for years to come.
As an added note:
When asked about the next-gen Roadster’s “Augmented Mode” that he announced last year, Musk (jokingly) stated that the vehicle could just have a jack that could connect to a person’s Neuralink, a reference to one of his other ventures. This sounds entirely in the realm of science fiction, of course, but years down the road, who’s to say such a thing will be impossible?
Listen to Ryan McCaffrey’s interview with Elon Musk here.
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.