News
SpaceX ships Raptor to Texas for first Starhopper hover tests after fixing vibration bugs
After a brisk week of no fewer than three lengthy static fire tests, SpaceX has effectively confirmed that a critical vibration-related fault was solved, delivering the company’s latest completed Raptor engine to Boca Chica, Texas earlier today.
SpaceX technicians are now in the process of installing the engine – believed to be Raptor SN06 – on Starhopper, a low-fidelity prototype meant to act as a sort of flying testbed for Starship technologies and a mobile test stand for Raptor test fires. According to SpaceX CEO Elon Musk, if Raptor SN06 is installed, successfully checks out, and supports Starhopper’s first untethered hover test within the next 3-7 days, he will deliver an updated presentation on SpaceX’s Starhip/Super Heavy launch vehicle and (hopefully) the company’s plans for the Moon and Mars around the end of July.
This Raptor is the third to be installed on Starhopper. The first engine (SN02) was installed in March 2019 and became the first Raptor to ignite as part of a vehicle meant to eventually fly. During a duo of more or less successful test fires, Starhopper strained against its tethers, lifting a few inches off the ground. Although it did technically mark Starhopper’s inaugural hop, Raptor SN02 also suffered damage during the tests that demanded its removal.
As recently noted by observant fans after Musk revealed that SpaceX had been dealing with a “600 Hz” vibration issue, the horn-like noise during shutdown actually happens to be in the 600 Hz range, with an additional spike at 300 Hz a likely sign of an issue with acoustic and/or mechanical resonance. With SN06, SpaceX engineers and test/production technicians have managed to rapidly implement a fix for that undesirable resonance, powering through several successful static fires with durations as high as 80+ seconds, approaching the propellant storage limits of SpaceX’s McGregor test facilities.
Raptor SN04?
Shortly after its static fire tests in Boca Chica, Raptor SN02 was removed. According to a source familiar with the test process, the engine was brought up to McGregor, TX and repaired before SpaceX technicians – urged by CEO Elon Musk – effectively ran the engine until it failed catastrophically. Some two months after its removal (early June), a new Raptor engine – this time believed to be Raptor SN04, effectively an inert test article – was installed on Starhopper for a handful of days.
SN04 was exclusively used to check fitment and verify Raptor’s thrust vector control (TVC) gumball capabilities – quite successfully, by all appearances. A few days after installation, it was removed and shipped elsewhere. Subsequently, Raptor SN05 was tested in McGregor with the hopes that it would be able to support the first Starhopper hover tests, but the vibration issue described by Musk caused damage or at least killed confidence that the engine (a single point of failure on Starhopper) was reliable enough to support hover tests.
Raptor SN06 thus entered our story, arriving at McGregor around July 4th. SpaceX’s world-class team of engineers and technicians demonstrated their famous speed and agility, firing up SN06 less than 24 hours after its arrival. This initial test showed nothing out of order and was followed by no less than 3-4 30-80-second static fire tests, all of which were more or less successful. Per Musk, things were looking good as of July 8th, and Raptor’s July 11th arrival at Boca Chica is a foolproof confirmation that the engine is healthy and ready for the Raptor family’s first true flight.
Stay tuned for coverage of SpaceX’s imminent Starhopper static fire and hover test campaign.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
