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SpaceX sets dates for Starship static fire, high-altitude launch debut
CEO Elon Musk says that SpaceX is set to attempt one final Raptor engine static fire test before putting Starship through its high-altitude launch debut later this week.
Liable to begin as soon as November 30th per public road closure notices, Musk says that Starship serial number 8’s (SN8) launch debut – both Starship’s first fully-assembled flight test and first high-altitude launch attempt – is now scheduled no earlier than (NET) 8 am to 5 pm CST (UTC-6) on Wednesday, December 2nd.
November 30th will instead host what is believed to be a unique kind of static fire test for Starship SN8, hopefully proving that the rocket has a decent shot at surviving its risky launch debut.
As previously discussed on Teslarati, SpaceX’s Starship development strategy means that SN8’s survival is far less important than it may seem.
“On November 25th, Starship SN9 (featuring “small improvements”) was stacked to its full 50-meter (~165 ft) height. If SN8 is destroyed during testing, SN9 will likely be ready to roll to the launch site almost as soon as the dust settles.
Meanwhile, Starship SN10 is likely just 7-10 days away from a similar nosecone stacking milestone, and Starship SN11’s tank section is just one stack away from completion, likely putting it less than two weeks behind SN10. In other words, insofar as speed is a priority and each prototype is anywhere close to as cheap as Starship’s majority-steel bill of materials might suggest, SpaceX is building Starships so quickly that it almost doesn’t make sense to spend more than a few weeks working through bugs on any single suborbital ship.”
Teslarati.com — November 25th, 2020
In fact, delaying SN8’s launch to try to refine the rocket in situ and better ensure success could actually be to the detriment of successive prototypes and the Starship program in general. If, for example, a fundamental design flaw is revealed in Starship SN8 only after the prototype’s first test flight, SpaceX could be forced to scrap a huge amount of work done on as many as six, seven, eight, or even more subsequent prototypes. In that since, while it may seem like caution maximizes the value any single Starship prototype can provide SpaceX, that’s only true as long as the Starship design is mature enough that new fundamental flaws are unlikely to arise.
Given how young SpaceX’s agile Starship development program is, it would make very little sense to hinge months of work and more than half a dozen rocket prototypes on the quality and success of a less mature prototype unless all the vehicles in question are more or less identical final products. SN8 through SN15+ are certainly not final products in the sense that Starship is meant to be the largest reusable orbital spacecraft ever built.
As such, the Starship program is probably better off if SpaceX pushes vehicles to failure as quickly as reasonably possible. Having now spent more than two months at the launch pad while no less than three full-scale prototypes rapidly approach a similar level of completion, Starship SN8’s test flow is likely an overcorrection from a haphazardly rushed schedule to extreme caution.
Along those lines, SpaceX is now hopefully set on launching Starship SN8 within the near future. First, though, the company apparently plans to attempt another Raptor engine static fire test on Monday, November 30th. Scheduled between 7 am and 9 pm CST, the test has been described as a “handoff” static fire, referring to the process of switching each Raptor engine’s propellant feed from Starship’s main tank to much smaller ‘header’ tanks reserved for landings.
What exactly that handoff refers to is unclear. It could mean that SN8 will switch from main tanks to header tanks during a Raptor static fire test, though it’s unclear why that capability would be necessary unless Starship’s current header tank design is too small. “Handoff” could also refer to the process of switching between main and header tanks between Raptor operations – far more likely. In other words, Starship SN8’s Monday testing might involve two back-to-back static fires, performed with no human intervention. If successful, such a handoff static fire would simultaneously test Starship’s ability switch propellant sources and perform multiple Raptor engine ignitions – both necessary for a launch and landing.
Musk himself believes that Starship SN8 has a ~33% chance of successfully launching, reaching apogee, stably ‘skydiving’ ~14 km (~9 mi) back to Earth, reigniting Raptor engines, and landing in one piece. It’s unclear what will happen in the seemingly unlikely event that SN8 survives, but Starship SN9 is practically nipping at the relatively ancient prototype’s heels.
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
