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SpaceX Starship wraps up nosecone ‘cryo proof’ and first of several Raptor static fires
SpaceX has successfully ‘cryoproofed’ the first fully-assembled Starship prototype’s nose-based propellant tank and used that same tank to fire up a Raptor engine, crossing off one of the last major tests before the rocket’s 15-kilometer (~9.5 mile) launch debut.
On November 4th, after a few false-starts, Starship Serial Number 8 (SN8) kicked off its first round of testing after becoming the first prototype to have a nose section permanently installed. On that Wednesday evening, SpaceX most likely put the rocket through a partial cryogenic proof test explicitly focused on SN8’s new nosecone and a small secondary propellant tank situated in its tip. Designed to act as a secondary reservoir for the relatively small amount of propellant Starships need to land, SN8’s two header tanks were likely loaded with cryogenic liquid nitrogen – a safe, nonreactive stand-in for liquid oxygen and methane.
Having proven that Starship SN8’s newly-installed liquid oxygen header tank and associated plumbing is capable of loading, managing, and offloading dozens of tons of cryogenic fluid while navigating a 40-meter-tall (~130 ft) vertical pipe, SpaceX was ready to move onto the next step: a wet dress rehearsal (WDR) and Raptor static fire.
While SpaceX has technically completed eight successful Raptor static fires on four separate prototypes, including the first three-Raptor static fire ever attempted with Starship SN8, the company has never attempted a static fire while solely drawing propellant from header (landing) tanks. All but essential for Starships to be able to reliably reignite their Raptor engines in flight and keep cryogenic landing propellant liquid for hours, days, weeks, and even months, much smaller header tanks make it easier to keep propellant highly pressurized and in the right place to supply Raptors.
After several days of test windows come and gone and an aborted attempt on November 9th, Starship SN8 finally ignited one of its three Raptor engines, feeding the engine with liquid methane and oxygen stored in two separate header tanks. Oddly, a second or two after startup and ignition, Raptor’s usual exhaust plume was joined by a burst of shiny firework-like debris. A relatively normal five seconds later, the Raptor cut off, though the engine appeared to remain partially on fire for another ten or so seconds – also somewhat unusual.
Ultimately, the observed anomaly could be as simple as debris accidentally left in the vicinity of Raptor’s plume or, while less likely, concrete erosion. There’s also a chance that it was pieces of Raptor’s complex turbopumps or preburners, although it’s also unlikely that the engine would have continued running (as it did) if it had lost that much internal hardware.
(Update: Thankfully, NASASpaceflight.com reporter Michael Baylor says that the cloud of debris observed on November 10th “is not a [Raptor performance] concern,” making pad debris the likely source.)
SpaceX has canceled another static fire window on November 11th, leaving the next opportunity for a second (of three) expected static fire between 9am and 9pm CST (UTC-5) on Thursday, November 13th.
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.Â
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.Â
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.Â
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.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.Â
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
