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SpaceX’s Starship wins $53M from NASA for full-scale orbital refueling test
SpaceX’s Starship program has won $53 million from NASA to perform a full-scale test of orbital propellant transfer, taking the company and space agency’s relationship on the crucial technology to the next level.
NASA revealed the results of its fifth round of “Tipping Point” solicitations on October 14th, announcing awards of more than $370 million total to 14 separate companies. This year’s investments focused on three main categories: “cryogenic fluid management, lunar surface [operations], and closed-loop [i.e. autonomous] descent and landing capability demonstrations.”
In a fairly predictable outcome, the bulk (~$176 million) went to Lockheed Martin and the United Launch Alliance (ULA), while the other half (~$189 million) was split among the twelve remaining companies. In an upset, however, SpaceX was awarded a substantial contract for a crucial aspect of Starship development.
Today’s Tipping Point contract is technically the second time NASA has awarded SpaceX funding for propellant transfer development. In October 2019, almost exactly one year ago, SpaceX won $3 million “to develop and test…cryogenic fluid coupler [prototypes] for large-scale in-space propellant transfer,” marking NASA’s first direct investment in Starship. It seems that NASA was thoroughly satisfied with the results of that icebreaker test – enough to fund a full demonstration of Starship propellant transfer to the tune of $53.2 million.
As Ars Technica’s Eric Berger notes, NASA investing eight figures in a SpaceX Starship propellant transfer demonstration – let alone some $250 million overall in four separate companies – comes as a major surprise. In doing so, NASA is effectively testing the tolerance of political stakeholders in programs like Orion and SLS – programs that exist more to preserve jobs and prop up Congressional stakeholders. If a magnitude(s)-cheaper and more capable solution like distributed launch and orbital refueling were demonstrated under NASA’s own purview, it might become a lot harder to defend heritage programs that have been hemorrhaging ~20% of the space agency’s annual budget for almost a decade.
NASA says that this round of Tipping Point contracts could last up to five years. Aside from a $41.6 million contract with Intuitive Machines to develop a Moon hopper spacecraft capable of propulsively hopping around the lunar surface, the most interesting awards are focused on “cryogenic fluid management.” Eta Space received $27 million for a “small-scale flight demonstration of a complete cryogenic oxygen fluid management system to be integrated with Rocket Lab’s Photon spacecraft bus and launched on an Electron rocket.
Lockheed Martin won $89.7 million for an “in-space demonstration mission using liquid hydrogen…to test more than a dozen cryogenic fluid management technologies.” ULA, of which Lockheed Martin is a member, was awarded $86.2 million to test “precise tank pressure control, tank-to-tank transfer, and multi-week propellant storage” with a Vulcan Centaur upper stage.
Finally, SpaceX won $53.2 million for a “large-scale flight demonstration to transfer 10 metric tons of [liquid oxygen] between tanks on a Starship vehicle.” Notably, this seems to imply that NASA is effectively funding a single-ship orbital flight test in which a Starship prototype will (most likely) attempt to transfer liquid oxygen between its main LOx tank and a smaller ‘header’ tank.
Coming on the heels of an April 2020 contract that awarded SpaceX $135 million to develop a crewed Starship design optimized for Moon landings, NASA is beginning to put some serious money where its mouth is to develop a wide range of innovative solutions that may enable sustainable human space exploration.
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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
