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SpaceX finishes stacking new Starship for the first time in six months
For the first time in more than half a year, SpaceX has stacked a new Starship prototype to its full height, hopefully marking the end of a period of relatively slow progress.
That period began when Starship S20 was stacked to its full height in early August 2021. Until very recently, Ship 20 was said and expected to be the prototype assigned to Starship’s first orbital test flight, making it exceptionally important. In an unusual change in attitude, SpaceX may have felt the same, which may explain why Starship S20’s first static fire test took place more than two months after it first left the factory. A year prior, Starships SN9, SN10, SN11, and SN15 all completed proof testing a matter of weeks after rollout.
That sudden change of pace relative to past development has meant that Ship 20 is the only Starship prototype SpaceX has tested since May 2021 and the only Starship to graduate from final assembly to testing in the last six months. In that period, Ship 20 has completed a few major cryogenic proof tests and four static fires – two of which ignited all six Raptor engines. While Ship 20’s six-engine tests were unprecedented and marked a major program milestone, SpaceX once static-fired Starship SN9 three times in one day in January 2021.
However, that period of sluggish prototype testing may finally be coming to an end. In August 2021, when SpaceX stacked Starship S20 and Super Heavy B4 for the first time, the general assumption was that the seemingly imminent march towards orbital flight testing would be similar to SpaceX’s attempts to land a Starship from medium altitude between December 2020 and May 2021 – lots of prototypes in flow and multiple back-to-back tests and launches, in other words. That was not the case.
Starship S21, for example, began final assembly in mid-October 2021 and its tank section and nose section were both fully stacked less than a month later. However, rather than stack them into a second complete ship, SpaceX has left those separate assemblies sitting around Starbase for the last three months. Simultaneously, while Ship 21’s apparent limbo seemed to imply that SpaceX was implementing another block upgrade and moving on to newer prototypes, the company actually started stacking Starship S22 about a week after S21’s separate sections were completed. Only three months later have SpaceX’s plans for those three sections finally become clear.
On February 14th, 2022, Ship 22’s tank section followed Ship 21’s nose section into Starbase’s high bay assembly facility, where they were quickly stacked to form a full Starship prototype the same day. This raises the question: why?
Given that Starship S20 effectively completed qualification testing with three successful static fires in December 2021 and a fourth in early January 2022 and has been seemingly ready to fly ever since, its Super Heavy booster readiness – not ship readiness – that appears to be holding SpaceX back. Perhaps because of pad readiness issues, SpaceX has yet to perform a single Super Heavy static fire test – or even a less risky wet dress rehearsal – at the orbital launch site. As such, it’s hard to say why SpaceX has suddenly decided to finish Ship 22 instead of focusing on a newer version of Starship (S24) and Super Heavy (B7) – both of which are expected to debut upgrades.
It’s possible that Ship 22 is being completed merely as practice for the Starbase workforce, who have gone half a year without fully assembling another ship prototype, but then there would have been no reason not to install Ship 21’s nose on Ship 21’s tank section instead of withholding it for Ship 22. Ship 22 could also be a replacement for Ship 21 if appearances are misleading and SpaceX uncovered issues with the older prototype during testing but again, no booster is ready to launch either ship.
Regardless of the outcome or purpose of Ship 22, seeing any new Starship prototype completed is an exciting and interesting change of pace after half a year of following the windy paths of Ship 20, Booster 5, and Ship 21 to their uncertain goals.
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
