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SpaceX to attempt to crush Starship test tank
A week after rolling a different ‘test tank’ from its South Texas Starship factory to nearby launch and test facilities, SpaceX has moved a second test tank to the pad.
Hearkening back to a period in 2020 where SpaceX built and tested six different Starship test tanks in a period of six months, the company appears to be preparing to test another batch of tanks in the hopes of qualifying Super Heavy booster design changes and clearing the way for a significant upgrade to all Starship tank domes. The sequencing of the latest tank raises some questions, however.
Known unofficially as the “EDOME” tank in reference to a cryptic label on the side of one of its halves, the first new test tank’s purpose is much more cut and dry. While its steel rings appear to be unchanged from current Starship and Super Heavy prototypes, the tank’s two domes share almost nothing in common with the dozens of domes SpaceX has built and tested over the last three years of development. The new domes are much simpler and should be easier to manufacture than the domes SpaceX is familiar with. Thanks to their more spherical shape, they should also be more efficient, allowing future Starship tanks to store a bit more propellant while taking up the same amount of vertical space. SpaceX has yet to begin testing the EDOME tank since its June 8th rollout and does not appear to be much closer to starting 12 days later.
On June 16th, SpaceX rolled a second test tank to the launch site, which eventually joined the EDOME tank at a staging area that used to be a Starship landing pad. Whereas the EDOME tank is more of a generic test article, the second tank – known as B7.1 – is specifically designed to test Super Heavy booster design changes.
B7.1 is a bit like a miniature Super Heavy. Its three-ring top section is mostly similar to the top section of a booster and is reinforced with dozens of external stringers. Oddly, it is missing cutouts for grid fins, and the tank’s forward dome does not have the reaction frame those hypothetical grid fins would anchor to. On the tank’s bottom half, the same stringers are present, and the tank features a new design that squeezes four slightly shorter rings into the same height as three. The Super Heavy thrust dome those rings enclose is also a new design that expands the number of central Raptor engines from 9 to 13.
It’s unsurprising that SpaceX wants to test those significant design changes. SpaceX did technically conduct a similar test in mid-2021 with a test tank known as BN2.1, but that tank featured a thrust dome with room for 9 older Raptors that would have generated about ~1700 tons of thrust. B7.1’s testing will go a step further than BN2.1 and use a structural test stand that should allow SpaceX to simulate the compressive forces Super Heavy boosters might experience in flight, adding another dimension of stress on top of the 13 hydraulic rams that will simultaneously subject the test tank to the equivalent of ~3000 tons (~6.6M lbf) of thrust.
And lift over to the crusher for a nice bit of torture. pic.twitter.com/SxV3BTs7ry— Chris Bergin – NSF (@NASASpaceflight) June 19, 2022
What is surprising, however, is the fact that SpaceX has waited so long to build and test a tank like B7.1. SpaceX has already completed an entire Super Heavy booster (B7) with all the design changes B7.1 is meant will test and recently installed 33 new Raptor 2 engines on that prototype. A second upgraded booster, B8, is also nearly finished. In that sense, B7.1 is quite unusual and feels more like a reluctant afterthought than part of a methodical development process. If B7.1 suffers an unintentional failure during testing, SpaceX could be forced to abandon two nearly-finished Super Heavy boosters, wasting months of assembly and testing and rendering prototypes that are likely worth tens of millions of dollars all but useless.
The design changes B7.1 is meant to test are not exactly radical, but it’s still unclear why SpaceX has chosen to conduct those tests after building two entire Super Heavy boosters. Earlier on in Starship development, SpaceX regularly used test tanks to qualify significant design changes before applying those changes to full prototypes, limiting the amount of resources that could be wasted on any unproven prototype. Thankfully, Super Heavy Booster 7 may have already completed similar Raptor thrust simulation tests on the same test stand B7.1 was recently installed on, meaning that SpaceX’s confidence may have been well-placed. However, if the first use of the ‘can crusher’ stand on a Super Heavy test tank finds any problems or ends in failure, B7 and B8 could still be easily rendered unusable or incapable of flight, significantly delaying Starship’s first orbital launch attempt.
Lately, SpaceX has been focused on preparing Starship S24 and Super Heavy B7 for static fire tests that could eventually qualify the pair to support the first orbital test flight. It’s not clear if or when SpaceX will be able to set aside time and evacuate Starbase’s busy orbital launch site to test B7.1 or the EDOME tank.
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
