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SpaceX ships Raptor to Texas for first Starhopper hover tests after fixing vibration bugs
After a brisk week of no fewer than three lengthy static fire tests, SpaceX has effectively confirmed that a critical vibration-related fault was solved, delivering the company’s latest completed Raptor engine to Boca Chica, Texas earlier today.
SpaceX technicians are now in the process of installing the engine – believed to be Raptor SN06 – on Starhopper, a low-fidelity prototype meant to act as a sort of flying testbed for Starship technologies and a mobile test stand for Raptor test fires. According to SpaceX CEO Elon Musk, if Raptor SN06 is installed, successfully checks out, and supports Starhopper’s first untethered hover test within the next 3-7 days, he will deliver an updated presentation on SpaceX’s Starhip/Super Heavy launch vehicle and (hopefully) the company’s plans for the Moon and Mars around the end of July.
This Raptor is the third to be installed on Starhopper. The first engine (SN02) was installed in March 2019 and became the first Raptor to ignite as part of a vehicle meant to eventually fly. During a duo of more or less successful test fires, Starhopper strained against its tethers, lifting a few inches off the ground. Although it did technically mark Starhopper’s inaugural hop, Raptor SN02 also suffered damage during the tests that demanded its removal.
As recently noted by observant fans after Musk revealed that SpaceX had been dealing with a “600 Hz” vibration issue, the horn-like noise during shutdown actually happens to be in the 600 Hz range, with an additional spike at 300 Hz a likely sign of an issue with acoustic and/or mechanical resonance. With SN06, SpaceX engineers and test/production technicians have managed to rapidly implement a fix for that undesirable resonance, powering through several successful static fires with durations as high as 80+ seconds, approaching the propellant storage limits of SpaceX’s McGregor test facilities.
Raptor SN04?
Shortly after its static fire tests in Boca Chica, Raptor SN02 was removed. According to a source familiar with the test process, the engine was brought up to McGregor, TX and repaired before SpaceX technicians – urged by CEO Elon Musk – effectively ran the engine until it failed catastrophically. Some two months after its removal (early June), a new Raptor engine – this time believed to be Raptor SN04, effectively an inert test article – was installed on Starhopper for a handful of days.
SN04 was exclusively used to check fitment and verify Raptor’s thrust vector control (TVC) gumball capabilities – quite successfully, by all appearances. A few days after installation, it was removed and shipped elsewhere. Subsequently, Raptor SN05 was tested in McGregor with the hopes that it would be able to support the first Starhopper hover tests, but the vibration issue described by Musk caused damage or at least killed confidence that the engine (a single point of failure on Starhopper) was reliable enough to support hover tests.
Raptor SN06 thus entered our story, arriving at McGregor around July 4th. SpaceX’s world-class team of engineers and technicians demonstrated their famous speed and agility, firing up SN06 less than 24 hours after its arrival. This initial test showed nothing out of order and was followed by no less than 3-4 30-80-second static fire tests, all of which were more or less successful. Per Musk, things were looking good as of July 8th, and Raptor’s July 11th arrival at Boca Chica is a foolproof confirmation that the engine is healthy and ready for the Raptor family’s first true flight.
Stay tuned for coverage of SpaceX’s imminent Starhopper static fire and hover test campaign.
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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
