News
SpaceX to end Crew Dragon capsule production as Starship’s shadow grows
Reuters reports that SpaceX has begun to shut down Crew Dragon capsule production after assembling a fleet of four reusable spacecraft, highlighting the company’s ever-growing desire to pivot to Starship.
According to SpaceX president and chief operating officer (COO) Gwynne Shotwell, who spoke with Reuters reporter Joey Roulette, the company has already ended production of new Crew Dragon capsules after recently completing a fourth operational spacecraft. Nicknamed “Freedom” by its crew, Dragon capsule C212 (Dragon 2 capsule #12) is scheduled to debut as early as April 19th and will ultimately ferry SpaceX’s fourth crew of government astronauts to and from the International Space Station.
However, while ending production of Crew Dragon might sound like a dramatic and unexpected move after less than two years of operational astronaut launches and undeniably hints at the company’s desire for Starship to take over, it’s not quite as jarring as it seems.
Above all else, Shotwell did not explicitly mention Cargo Dragon 2 production. It’s possible that there was a miscommunication during the brief Q&A and that a generic statement about ending production of all Dragon capsules was projected onto just SpaceX’s Crew Dragon variants, but the Reuters article strongly implies that only Crew Dragon production has been ended.
As of today, SpaceX only has two operational Cargo Dragon 2 capsules in its uncrewed fleet – both of which have already flown twice. Following a recent contract extension, SpaceX is scheduled to complete at least 11 more ISS cargo deliveries and recoveries by 2027 and while it’s possible that the company is confident enough to gamble that two Dragon 2 capsules can complete all 15 CRS2 resupply missions, a SpaceX engineer confirmed that at least one more Cargo Dragon is scheduled to debut in 2022. With three Dragons, that would at least give SpaceX the ability to confidently fulfill its CRS2 obligations even if one capsule is damaged or lost.
Meanwhile, Shotwell indicated that SpaceX would preserve the ability to restart Dragon production if the need arose – far easier said than done. At the same time, the company will still need to churn out at least half a dozen or so expendable Dragon ‘trunks’ per year and continue building a wide range of replacement parts. A substantial team will also be needed to refurbish and operate Crew and Cargo Dragons for as long as launches continue.
But by and large, the move to end Crew Dragon capsule production says one thing above all else: that SpaceX is chomping at the bit to redirect large portions of its Falcon and Dragon workforce to Starship development. If SpaceX can make it work, Starship – a fully-reusable two-stage rocket – could end up costing roughly as much as Dragon and Falcon per launch but its launch costs could also plummet to a magnitude less – all while offering a magnitude more space, performance, and capabilities.
Crew Dragon is currently used to launch four astronauts at a time. A single crewed Starship could have a habitable volume greater than the entire International Space Station and carry 40 astronauts into orbit inside it in a single launch. Cargo Dragon typically delivers about three tons (~6600 lb) of cargo to the ISS. A Cargo Starship could deliver dozens of tons in one go – more cargo space than NASA would know what to do with after decades sent under the tyranny of razor-thin mass margins.
NASA is likely the single largest individual investor in Starship after contracting with SpaceX to build a version of Starship capable of returning astronauts to the Moon for about $3 billion, meaning that the space agency will be intimately aware of and involved in the vehicle’s development over the next 5-10 years. It would only be logical to extract as much value as possible out of that investment and simultaneously revolutionize the transportation of cargo and, one day, astronauts to Earth orbit and beyond.
Unfortunately, there’s no real guarantee that NASA will actually do that, but SpaceX’s choice to end Dragon capsule production so early on makes it clear that the company is more than willing to prepare the groundwork for such a transition itself.
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
