Connect with us

News

SpaceX Starship briefly becomes largest rocket in history – now what’s next?

For a brief moment on August 6th, Starship became the largest rocket in history. (SpaceX)

Published

on

On August 6th, after a great deal of anticipation, SpaceX stacked a Starship on top of a Super Heavy booster for the first time ever, very briefly assembling the largest rocket in history.

However, barely an hour after the two stages were integrated and (presumably) latched together, SpaceX lifted Starship (S20) off the booster, returned it to its transport stand, and rolled the ship back to the build site later that day. Though an extreme sensitivity to wind conditions has delayed the procedure, Super Heavy Booster 4 (B4) also appears to be on track to be removed from the orbital launch mount and sent either back to the factory or to a suborbital launch mount that’s been modified for booster testing.

For those that followed the process closely in the days and weeks prior, the fact that Starship’s first full assembly was just a fit check (and, really, more like 50:50 between fit check and photo op) came as no surprise. In the lead-up, it became clear through several reports that CEO Elon Musk had challenged SpaceX to stack Ship 20 and Booster 4 by August 5th and flown in several hundred employees normally stationed elsewhere to accomplish the feat.

Ignoring weather delays that prevented stacking on August 5th, SpaceX met Musk’s challenge in all but the literal sense, assembling the world’s largest rocket into one integrated stack for the first time ever. Even more significantly, despite the fact that SpaceX could have easily decided to stack two not-for-flight prototypes to sort of achieve the same feat, both stages – Ship 20 and Booster 4 – involved in the August 6th milestone are nominally destined for flight.

Barring surprises, the same exact pair is scheduled to support Starship’s first orbital test flight as early as this year. Before they can be cleared for flight, however, a great deal of work must still be completed – work that in some cases is unprecedented in the history of the Starship program.

Advertisement
-->

Not long after the stacking milestone, Musk himself sketched out a few of the tasks still in front of the rocket. Namely, Musk says that SpaceX must still complete Starship S20’s partially-finished heat shield, install some form of heat shield(s) to protect Super Heavy Booster 4’s 29 naked Raptor engines; finish installing, plumbing, and activating 4-7 massive custom propellant storage tanks; and assemble, install, and activate a giant mechanical umbilical arm on the launch tower to fuel and power Starship.

All are undoubtedly crucial and Starship is unlikely to launch before any of them are more or less complete. However, the booster and ship themselves are arguably far more of a pressure point. Before they can be deemed ready for flight, both the ship and booster must complete unprecedented test campaigns on the ground.

Ship 20 will need to complete cryogenic proof testing to verify that the first Starship with six Raptor engine mounts is structurally sound. SpaceX has already modified one of its two suborbital Starship launch mounts for that purpose. Once cryo proof and hydraulic ram testing is complete, those six rams will likely be removed and six Raptor engines will be installed in their place, potentially setting up Ship 20 to become the first Starship prototype to static fire six engines – and any number of Raptor Vacuum engines.

Super Heavy Booster 4 will be faced with an even more ambitious static fire test campaign as SpaceX likely gradually installs more and more engines. Depending on how focused SpaceX is on speed over thoroughness, that process could involve gradually adding 2-5 engines after every static fire or could result in SpaceX starting with 4-9 engines and then immediately jumping from 9 to a full 29-Raptor static fire.

Only after completing those crucial qualification tests is SpaceX likely to stack Ship 20 and Booster 4 for a second time and enter the first true full-stack Starship launch flow – hopefully culminating in the first orbital launch attempt later this year, but only as soon as the FAA completes an environmental review and approves the rocket’s launch license. Technically, FAA approval could come next month or it could take the agency a year or more – it’s almost impossible to predict without official information. However, given SpaceX’s track record with Starship prototypes and Booster B3, it’s likely that a flightworthy Starship and Super Heavy will be stacked on the pad and ready to launch just a few months from now.

Advertisement
-->

Stay tuned for updates on that potential standoff in the making and Starship’s progress towards its first orbital test flight.

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.

Advertisement
Comments

News

Tesla seen as early winner as Canada reopens door to China-made EVs

Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.

Published

on

Credit: Tesla

Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.

Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more. 

Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney. 

Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.

Advertisement
-->

Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver. 

When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.

Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.

Advertisement
-->
Continue Reading

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.

Published

on

(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. 

Advertisement
-->

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. 

Advertisement
-->
Continue Reading

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.

Published

on

xAI-supercomputer-memphis-environment-pushback
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.

Advertisement
-->

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.

Continue Reading