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SpaceX breaks Starship test record, rolls next booster to launch pad
SpaceX has completed a record-breaking test of a Starship booster and rolled a newer Super Heavy prototype to the launch pad just hours apart.
Almost six weeks after SpaceX began Super Heavy Booster 7’s static fire test campaign, the company has broken new ground by simultaneously igniting seven Raptor engines at once. A matter of hours later, confirming SpaceX CEO Elon Musk’s plans in real time, the company transported a second Super Heavy prototype (Booster 8) from the factory to the launch pad, where it joined Booster 7.
According to Musk, those rockets will soon switch places, ensuring that no time is wasted while SpaceX continues to gradually work towards Starship’s first orbital launch attempts.
Booster 7 kicked off the most important stage of its flight qualification process on August 9th and 11th with two back-to-back static fires, each igniting just one of 20 installed Raptor engines. Both appeared to be successful and SpaceX returned B7 to its Boca Chica, Texas factory, reinstalled a full set of 33 engines, and sent the Super Heavy back to the launch pad two weeks later.
On August 31st, SpaceX attempted to ignite three of Booster 7’s 33 Raptors. One engine failed to ignite but the others did not, resulting in a mostly successful two-engine test. Over the next two weeks, SpaceX performed several ignition-free ‘spin-prime’ tests, two of which appeared to spin up all 33 engines without causing an explosion. Finally, SpaceX telegraphed its next major goal with a seven-engine spin-prime test on September 16th and another (albeit with a slightly different set of engines) on September 19th.
Shortly after the second seven-engine spin-prime, SpaceX refilled Booster 7 with propellant, went back through the same procedures, and ignited the same seven engines for about five seconds. No obvious issues arose and Musk later implied that the test went well. It set a new record for the largest number of Raptors simultaneously ignited on a single prototype and likely also broke the record for most thrust produced by a vehicle tested at Starbase.
If all seven upgraded Raptor V2 engines were operating at full throttle, they could have briefly produced more than 1600 tons (~3.6M lbf) of thrust – roughly equivalent to two Falcon 9 boosters. Measuring about 69 meters (~225 ft) tall and 9 meters (~30 ft) wide, Super Heavy will be the most powerful liquid rocket booster ever tested once it ignites as few as 20 of its 33 engines at full thrust.
In an increasingly rare update, Musk revealed that SpaceX will once again return Booster 7 to Starbase’s factory for mysterious “robustness upgrades” after the latest round of testing. Musk doesn’t seem to think that those upgrades will take very long, and anticipates that Starbase’s “next big test” will be the first complete wet dress rehearsal of a fully-assembled two-stage Starship, followed by Super Heavy’s first 33-engine static fire test, “in a few weeks.”
More likely than not, each step of that process will take multiple attempts and uncover issues that will then need to be corrected and verified over the course of several months. But with Starship 24 having already completed a full six-engine static fire, there’s a small chance SpaceX will find itself with a fully-stacked Starship that is more or less ready for its first orbital launch attempt by the end of October.
In the meantime, after Booster 7 returns to the factory, Booster 8 – finally complete after a relatively slow six-month assembly – will kick off basic proof testing at SpaceX’s South Texas orbital launch site. SpaceX wasted no time preparing for that swap and transported Booster 8 to the pad just seven hours after Booster 7’s seven-engine static fire. If things move more smoothly than they did with B7, it’s possible that B8 will complete proof testing and be ready to head back to the factory for Raptor installation by the time B7’s upgrades are finished – a very efficient transition if it works out that way.
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
