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SpaceX Starship prototype gets frosty for a launch attempt as early as this week
Update: It appears that SpaceX has completed Starship SN10’s first cryogenic proof test campaign and the company lifted its road closure around 4:30 pm CST, signifying the end of Monday’s testing.
If Monday’s cryo proof was successful, SpaceX has requested possible static fire test windows on Wednesday, Thursday, and Friday (Feb 10-12), though it’s possible another window could be added on Tuesday, February 9th. If Starship SN10 is able to complete a flawless wet dress rehearsal (WDR) and static fire on Tuesday or Wednesday, there is a chance – albeit small – that SpaceX can turn the rocket and pad around for a launch attempt on Friday.
Unfortunately, the FAA also deemed it necessary to reissue SpaceX’s airspace restrictions with a note that SN10’s launch is still “pending [authorization],” adding additional bureaucratic uncertainty on top of the technical hurdles the Starship still needs to navigate to be cleared for flight.
In the midst of what appears to be Starship SN10’s first cryogenic proof test, SpaceX has filed temporary flight restrictions (TFRs) with the FAA for a third Starship launch as early as this week.
Effectively identical to late Starships SN8 and SN9, both of which suffered last-second failures that led to hard impacts and explosions on December 9th and February 2nd, Starship SN10 is a prototype steel rocket and reusable upper stage measuring 50m (165 ft) tall, 9m (30 ft) wide, and some 1350 metric tons (three million pounds) – about as much as Falcon Heavy – fully fueled.
Like its predecessors, Starship SN10 has been outfitted with a cluster of three Raptor engines producing up to 600 metric tons of thrust (~1.3M lbf) and was built as part of a series of four prototypes designed to prove out a new method of rocket recovery.
As previously discussed on Teslarati, SpaceX unexpectedly distributed safety “alerts” to Boca Chica Village residents on Sunday, February 7th, an act that has only ever signified plans to (attempt to) static fire a Starship prototype. However, Starship SN10 has yet to even complete cryogenic proof testing, referring to a common practice SpaceX has used to verify vehicle health with liquid nitrogen, simulating the extreme cold of liquid methane and oxygen propellant without the risk of a violent fire or explosion.
At the moment, SpaceX is in the middle of putting Starship SN10 through its first LN2 cryo proof attempt(s). SpaceX appeared to abort one attempt around 1:15 pm CST and has kicked off a second attempt around this article’s publishing time (~2 pm CST). If SN10 manages to pass a cryo proof in the early afternoon, there’s a chance – albeit limited – that SpaceX will then attempt to recycle for a live wet dress rehearsal (WDR; replacing LN2 with methane and oxygen) and possible static fire attempt later today.
Even attempting – let alone completing – an inaugural cryoproof and static fire on the same day would be an unprecedented feat, so it’s far more likely that the process will take a couple days. Even if that’s the case, however, it’s still possible that SpaceX could make Starship SN10 ready for another high-altitude launch attempt as early as this week. Stay tuned for updates!
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.
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.
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
