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SpaceX’s odd Starbase propellant storage tank prototype passes first test
Likely to the relief of many, SpaceX appears to have successfully tested a prototype of the custom-built Starbase propellant storage tanks that will eventually hold thousands of tons of fuel and oxidizer.
For reasons unknown, SpaceX’s built its first ground support equipment (GSE) ‘test tank’ – a subscale prototype designed to quickly verify basic production quality and design goals – months after it began mass-producing operational storage tanks. In fact, of the seven total GSE tanks expected to be built, SpaceX has already completed seven, installed five, and scrapped one. Known as GSE4, SpaceX actually used modified parts of that scrapped tank to assemble the GSE test tank that first rolled to Starbase’s launch (and test) facilities on August 23rd.
Two days later, SpaceX subjected the small tank to its first test.
Given that SpaceX appears to have almost retroactively assembled the GSE4 test tank after building the final products, the results from its testing were always going to be significantly more anxiety-inducing than any of the more than half-dozen other tanks the company has tested in the last year and a half. Having already fabricated, assembled, or even installed six of seven planned GSE tanks, the discovery of major issues during testing could potentially cause months of delays by forcing SpaceX to perform lengthy repairs or even fully scrap all six existing tanks and start over.
Thankfully, at least for the time being, it appears that SpaceX can write off those potential worst-case scenarios. On August 25th, SpaceX took advantage of a test window initially believed to be for Starship S20 and put the cobbled-together GSE4 tank through its paces for the first time. As with previous test tanks, all SpaceX can really do is fill the prototype with liquid nitrogen (LN2), a non-flammable alternative to liquid oxygen or methane propellant that is approximately as cold and heavy. As a storage tank prototype, though, GSE4 has no need for hydraulic ram setups used to simulate the thrust of Raptor engines on several previous prototypes.
As such, one or several cryogenic proof tests were all that were ever really in GSE4’s future. On GSE4’s first test, SpaceX performed a more or less normal cryogenic proof, completely filling the tank with LN2, closing its vents, and then allowing the natural process of LN2 boiloff to raise the tank to the desired test pressure. However, unlike other test tanks, GSE4 never actually appeared to reopen its main vents. In fact, SpaceX may have never actually drained liquid nitrogen from the test tank, instead simply letting it slowly warm up and boil off into gas that was seemingly managed and vented by ground systems instead of the tank itself.
As a result, GSE4 stayed frosty (indicating a significant amount of remaining liquid nitrogen) for more than eight hours, strongly implying that it was either very slowly drained or simply allowed to warm up naturally. Given that large cryogenic storage tanks really don’t have to be significantly pressurized to complete their job, it’s possible that GSE4’s first test was primarily meant to verify the basic structural integrity of a tank that’s slightly different than those on Starship and, more importantly, test a different method of pressure and fluid management where most of that work is done by external, permanent systems on the ground.
That’s exactly what one might expect of rocket tankage slightly modified to serve as ground storage tanks. SpaceX’s GSE tanks never have to act as self-contained units and can instead rely almost entirely on separate systems.
Aside from verifying that that slightly different method of tank operations works as expected, GSE4’s first test likely also allowed SpaceX to better characterize the thermal properties of the thin steel skin and domes that are Starship and GSE tanks. Unlike GSE4, operational GSE tanks will be enclosed inside 12m (~40 ft) wide ‘cryo shells’ designed to insulate their cryogenic contents, but the insulative properties of the inner tanks (or the lack there of, rather) will still determine how well that insulation works and how much is actually needed to reach the desired boiloff rates. A contractor hired by SpaceX has already completed all seven cryo shells, so any results gathered from GSE4 will obviously be more of a check than a developmental test, but data is still data.
News
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
