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SpaceX reveals new details on Starship’s third test flight
SpaceX has revealed some new information regarding the third test flight of its massive Starship rocket.
The flight, which took place from Starbase, Texas, yesterday morning at 8:25 am CT, capitalized on previous test flights and accomplished a host of new objectives.
All 33 Raptor engines lit in a staggered sequence, and once throttled up, the world’s biggest rocket took flight for the third time.
All 33 Raptor engines burning (Credit: SpaceX)
As Starship climbed into the South Texas skies, the 33 engines continued to operate nominally until the hot stage separation, in which 30 of Super Heavy’s engines shut down as Starship lit its 3 sea-level and 3 vacuum Raptor engines and continued to space.
For the first time, the Super Heavy first stage, Booster 10, successfully performed a boost back burn and aimed for a splashdown just East of the launch pad in the Gulf of Mexico. According to the data displayed on the webcast, the booster reached a peak speed of 5750 km/h and an altitude of 106 km.
Super Heavy performing the boost backburn while Starship heads down range (Credit: SpaceX)
Unlike the Falcon 9, the Super Heavy is so big it does not need to do an entry burn however in one of the last bits of data available on the webcast, it showed the booster attempted to begin its landing burn around 1 km in altitude with only 3 engines lighting and 2 shutting off almost immediately after.
SpaceX has since confirmed that Booster 10 experienced a rapid unscheduled disassembly just 462 meters above the water’s surface, and it is likely that what remained of the booster hit the water at nearly the speed of sound.
While Booster 10 was meeting its fate in the Gulf of Mexico following a great performance, Ship 28 continued to burn all 6 of its Raptor engines and completed its first full-duration burn, inserting itself into its proper sub-orbital trajectory.
Starship just after Raptor shutdown (Credit SpaceX)
Ship 28 then began its coast phase and started a series of tests. The payload bay door, aka pez door, designed to eventually eject the full-size Starlink satellites, was first commanded to open 12 minutes into the flight. SpaceX has yet to confirm whether it managed to fully open/close the door. At 30:18 into the mission, the door appears to have dislodged into the payload bay, and we no longer got any live views inside the ship.
The next task was to re-light the first-ever Raptor engine in space, but due to the vehicle’s roll rates, SpaceX decided to postpone this until a future flight.
Ship 28 then began atmospheric entry, but the ship seemed to be partially out of control with the spin and eventually began to build up plasma. The heat shield was only half exposed, and the rest was bare stainless steel, taking the brunt of the forces of re-entry.
Ship 28 begins atmospheric re-entry (Credit SpaceX)
Thanks to Starlink terminals on board, SpaceX was able to provide incredible live views from a camera located on one of Starship’s flaps. The plasma began as a faint pink glow before rapidly growing and enveloping the vehicle while still maintaining a good data connection which has never before been possible.
Overall, SpaceX made many great advancements on this third test flight and will look to complete all of these on the fourth test flight, including a smooth splashdown of the Super Heavy booster and successful re-entry through the atmosphere for Starship.
When do you think the 4th test flight will occur, and will they fix the issues encountered during flight 3?
Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.
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.
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.
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.
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.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
