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SpaceX CEO Elon Musk says Starship could be followed by a dramatically larger rocket
Hinted at in a brief tweet on August 28th, SpaceX CEO Elon Musk says that SpaceX’s massive Starship and Super Heavy launch vehicle – set to be the most powerful rocket ever built upon completion – could eventually be followed by a rocket multiple times larger.
SpaceX is currently in the process of assembling the first full-fidelity prototypes of Starship, a 9m (30 ft) diameter, 55m (180 ft) tall reusable spacecraft and upper stage. Two prototypes – Mk1 and Mk2 – are simultaneously being built in Texas and Florida, respectively, while the beginnings of the first Super Heavy prototype has visibly begun to take shape at SpaceX’s Florida campus.
Once complete, Starship’s Super Heavy booster will be the single most powerful rocket booster ever built, standing at least 70m (230 ft) tall on its own and capable of producing as much as ~90,000 kN (19,600,000 lbf) of thrust with 30 250-ton-thrust and 7 200-ton-thrust Raptor engines installed. Assuming 31 throttleable 200-ton Raptors, Super Heavy’s minimum max thrust is a still record-breaking ~62,000 kN (13.7 million lbf).
In fewer words, a full Starship/Super Heavy ‘stack’ would be the tallest (~118m/390ft), heaviest (~5000 tons/11 million lbs), and most powerful rocket ever assembled.
And yet, despite its size, orbital-class rocketry in Earth gravity will almost never fail to benefit from more thrust; more propellant; more rocket. In light of this, CEO Elon Musk says that a theoretical next- next-generation SpaceX rocket – to potentially follow some years after Starship and Super Heavy – could be a full 18m (60 ft) wide, twice the diameter of its predecessors.
Many will recollect that doubling the diameter of a circle quadruples its area. Add in a doubling of height and a theoretical Starship 2.0 would have eight times the surface area and eight times the propellant tank volume, requiring roughly eight times as much thrust and making the vehicle eight times as heavy as Starship 1.0. Assuming that Starship’s successor retains its fineness ratio (height/width), an unlikely end result but still interesting to ponder, the vehicle would measure 18m (60 ft) in diameter and a terrifying ~236m (780 ft) tall, literally more than twice as tall as Saturn V. An 18m diameter would also make it the widest rocket ever built, with Saturn V’s S-IC first stage measuring 10m wide and the Soviet Union’s N1 ‘Block A’ first stage measuring an impressive ~17m in diameter at its widest point.
If the above assumptions are correct, a very rough estimate would peg Starship 2.0’s gross (fueled) mass at a gobsmacking ~40,000 metric tons (~90 million pounds). In the unlikely event that SpaceX would use the current generation of Raptor to power such a colossal rocket, the booster would need a bare minimum of 100+ Raptors just to lift off at all. Using Saturn V’s F-1, still the most powerful single-chamber rocket engine ever built, Starship 2.0 would need a minimum of 60+ engines to lift off.
For the time being, Starship and Super Heavy are plenty ambitious on their own, but it’s unsurprising to hear that SpaceX CEO Elon Musk already has some thoughts on what could follow that next-generation launch vehicle in the new decade. Still, it’s worth noting that quite possibly the craziest aspect of Starship – SpaceX’s utterly non-traditional attempt at rewriting the book on rocket manufacturing – could eventually make an 18m-diameter vehicle far more practical, assuming the company proves it’s methods can be used to build reliable, high-performance rockets.
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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.
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
