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SpaceX tests Starship and Frankenstein ‘test tank’ simultaneously
After another few weeks of downtime, SpaceX has simultaneously tested the first orbital-class Starship prototype and a Frankenstein-esque ‘test tank’ at its South Texas facilities. While nothing that occurred was all that visually spectacular, the afternoon of testing was still noteworthy for a couple of reasons.
First up, following a successful six-engine Raptor static fire – the first in Starbase history – on November 12th, all signs pointed to Starship S20 attempting another static fire (its fourth) on December 1st. In the almost three weeks of inactivity between those planned tests, SpaceX likely performed extensive inspections of the pathfinder prototype and its Raptor engines. Technicians also repaired the minor heat shield damage and tile loss that testing incurred and patched a few other ‘holes’, effectively leaving Ship 20 with the first fully finished heat shield by the end of November.
Earlier this week, one of the few remaining Boca Chica Village residents received a safety notice from SpaceX indicating that a static fire test was scheduled on Wednesday, December 1st – followed soon after by a notice to mariners (NOTAM) warning boaters to keep to a safe distance. Two hours into the 10am to 6pm CST test window, Starship S20 was already venting and starting to get frosty, confirming that propellant loading had begun. A little over an hour later, it was clear that SpaceX had aborted the first static fire attempt of the day. For the next three hours, Ship 20 exhibited some unusual behavior including new vents, an apparent header tank pressurization or fill test, and still more odd venting in new places.
In the middle of Starship’s weird nose-related testing, SpaceX began simultaneously loading a new ‘test tank’ known as B2.1 with liquid nitrogen (LN2) – marking the first truly simultaneous test of multiple Starship test articles. As Ship 20 seemingly detanked for the second time that day, the B2.1 tank was fully loaded with LN2 and apparently pressure-tested not long after. A few hours later, the test tank was also detanked and the road to the pad was reopened, marking the end of the day’s testing.
Normally, nothing is particularly unusual or noteworthy about test tank testing. Since January 2020, SpaceX has routinely built and tested tanks that are effectively just shorter versions of actual tanks and hardware, using them to qualify changes to Starship’s design, materials, operations, and more before applying those changes to full-size prototypes. B2.1 is the tenth dedicated test tank to reach the launch pad in a little under two years.
Normally, the ‘B2.1’ name SpaceX has given the tank would imply that it’s a newer booster test tank (using Bx instead of BNx) following in the footsteps of BN2.1, which passed cryogenic and load testing this summer. Instead, though, B2.1 is a bit of a nightmarish amalgamation of seemingly random Starship and Super Heavy parts. Its forward dome is an old, unused booster section complete with the hexagonal structure grid fins would have been brace against. Its aft section is a booster thrust structure. Up to that point, it’s effectively just a copy of BN2.1.
However, SpaceX inexplicably installed a Starship thrust dome inside B2.1’s booster thrust structure, creating a test tank with no obvious relevance to any conceivable Starship or Super Heavy design or prototype. Further, SpaceX rolled B2.1 to the launch site for testing only after installing it on an unused device that’s believed to be the aft half of a dedicated booster structural test stand. In theory, a sort of ‘cap’ would be fitted on top of a booster or test tank installed in the stand’s base and strong cables would connect the two, allowing SpaceX to subject prototypes to compressive stress – like, perhaps, the forces a booster might experience while carrying a fully-fueled 1300-ton Starship to space. The upper half of that test structure has yet to be moved to the launch site.
Altogether, the weird half-complete test stand and bizarre fusion of ship and booster parts make B2.1’s purpose and initial testing a complete mystery. It’s unclear what value it provides that makes it more of a priority than, say, finally starting to test the first flightworthy Super Heavy booster (B4). Ultimately, the most interesting thing about B2.1’s test debut is the fact that it appears to mark the first use of Starbase’s brand new orbital tank farm, which is approaching completion.
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
