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SpaceX rolls Starship to the launch pad five days after last flight test

SpaceX has rolled a new Starship prototype to the launch pad less than five days after the last prototype's launch, landing, and explosion. (NASASpaceflight)

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Update: Less than five days after Starship serial number 10 (SN10) briefly became the first prototype to launch and land in one piece, SpaceX has rolled its successor – Starship SN11 – from factory to launch pad.

The goal: complete cryogenic proof and static fire testing within the next 4-7 days to clear the way for another Starship launch as early as next week. Already outfitted with three Raptor engines, SN11 may have a limited chance of hitting SpaceX’s ambitious schedule targets, but the experiences of Starships SN8, SN9, and SN10 suggest that a launch sometime before the end of March is a more reasonable expectation. Stay tuned for updates as SpaceX prepares to install Starship SN11 at the launch pad and put its cryogenic proof test on the calendar.

NASASpaceflight.com reports that SpaceX – already scheduled to transport a new Starship to the launch pad on Monday, March 8th – wants that prototype ready to launch as early as next week.

According to the same report, SpaceX – having already installed three Raptor engines on Starship serial number 11 (SN11) – aims to more or less wrap up all qualification testing by the end of the week. No different than the test campaigns that all other flightworthy Starships had to pass before being cleared for launch, that process includes – at minimum – a good cryogenic proof test and a combined wet dress rehearsal (WDR) and static fire.

https://www.nasaspaceflight.com/2021/03/starship-sn11-rollout-spacex-plans-future/
Starship SN11 has been virtually complete for several weeks; waiting for SN10 to hand off the torch. Now, that time has come. (NASASpaceflight – bocachicagal)

Excluding Starhopper, of the five Starship prototypes that have taken flight, SpaceX has consistently managed to speed up the process of preparing each vehicle for flight, but the average time spent from rollout to liftoff is still more than a month. In other words, even accounting for the general improvements SpaceX seems to make between tests, readying Starship SN11 for flight within a week or two of the prototype arriving at the launch pad would be anywhere from a factor of two to five faster than any prior test campaign.

Excellent data recent collated by a new Twitter account (@BocaCharts) exemplifies both SpaceX’s continuous improvement and the unlikelihood of SN11 being ready for flight by next week.

Still, it’s not entirely impossible. If SpaceX can borrow from the most efficient Starship launches and test campaigns its completed and combine them all with a few new, unspecified efficiencies, it’s reasonable to conclude that Starship SN11 could be ready to fly near the end of next week (around March 19th). More specifically, SpaceX would have to complete a successful static fire on the first try within a week of SN11’s scheduled March 8th rollout, followed by a brisk two or three-day turnaround for a launch attempt.

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While not impossible, it’s safe to say that that scenario is unlikely. Nevertheless, assuming SpaceX continues to find ways to expedite preflight processing like it has with SN8, SN9, and SN10, it’s reasonable to assume that Starship SN11 could be ready for an inaugural launch attempt as early as the last week of March.

All the above ignores the possibility that SpaceX will choose to physically modify Starship SN11 to mitigate the possibility of some or all aspects of Starship SN10’s hard landing and subsequent explosion from recurring. If that is the plan, those changes will have to be done at the launch site after Starship SN11’s scheduled Monday, March 8th rollout.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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(Credit: Tesla)

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. 

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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. 

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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.

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Credit: xAI

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.

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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.

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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.

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Credit: Tesla

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.

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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.

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