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Relativity Space reveals plans to rapidly upgrade 3D-printed Terran 1 rocket
Relativity Space has announced that it will only launch the first version of its small Terran 1 rocket a handful of times before upgrading the vehicle in ways that will aid work on a much larger, fully reusable rocket.
Relativity co-founder and CEO Tim Ellis revealed the news in a recent interview, explaining that while the original Terran 1 rocket is still an integral part of the company’s vision and success, it will mainly serve as a bridge to the larger and more capable Terran R – a rare rocket with the potential to compete head-to-head with SpaceX’s Falcon 9.
“We’ve always envisioned Terran 1 being a development platform,” stated Ellis in an interview with Ars Technica. The Terran 1 rocket, which is thrust into orbit using nine proprietary Aeon-1 engines is designed to carry payloads into Low Earth Orbit (LEO). The first launch of Terran 1 is anticipated to take place by the end of 2022, with Ellis stating that Relativity is “definitely launching this year.” Terran 1’s first launch won’t carry payloads, indicating its experimental nature, but it will be serving as the startup’s first orbital launch attempt.
Assuming the rocket’s debut is mostly successful, Terran 1’s second mission will carry a “Venture Class Launch Services” small satellite payload for NASA. The third and final mission for the first version of Terran 1 will also carry payloads, though Relativity has yet to reveal its customer(s).
Once completed, Ellis says Relativity will shift its focus away from the Aeon-1 engine setup on Terran 1’s booster. Instead, they will remove the nine Aeon-1 engines from the vehicle and replace them with a single 135-ton-thrust (~300,000 lbf) Aeon-R engine – seven of which will eventually power Terran R’s reusable booster.
When asked why the startup didn’t simply start with the Aeon-R engine, Ellis noted that developing a booster with nine smaller Aeon-1 engines was “definitely not the optimum choice in hindsight to get to orbit as simply and quickly as possible for the Terran 1 program.” He added, “But it’s been part of our plans to do a much larger reusable rocket for a long time. So we chose to do liquid oxygen and liquid methane engines, as well as the nine-engine configuration on Terran 1 so that we could learn as a company how to do something that complex early on before we had to go build this 20,000-kilogram payload-to-orbit vehicle.”
There are many benefits that come from using the single Aeon-R engine on Terran 1, including reduced cost, processes, and more capable rockets. By scaling down the number of engines from nine Aeon-1s to one Aeon-Rs, they are also scaling down the number of turbopumps, which will reduce labor and cost. The Aeon-R engine, seven of which will power the Terran R rocket, will also produce nearly ~300,000 pounds of thrust. This will provide the company with more capable small launch vehicles.
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Ultimately, Relativity’s goal is to launch Terran R, a much larger, more powerful, and (in theory) fully-reusable rocket. Ellis stated that both the first and second stages of Terran R will be reusable, potentially allowing the rocket to directly compete with Falcon 9 – and maybe even the company’s fully-reusable Starship. SpaceX’s workhorse rocket has successfully launched 142 times and the company appears to be more confident in it than ever before. In 2022 alone, SpaceX hopes to launch an average of one Falcon rocket per week.
Despite the fact that SpaceX successfully landed its first Falcon booster in 2015 and reused a booster on a commercial launch in 2017, traditional competitors like Arianespace and ULA have done little to respond and continue to develop new rockets – Vulcan Centaur and Ariane 6 – that are fully expendable, substantially more expensive than SpaceX’s offerings, and still without a clear path to reusability. Alongside Blue Origin’s New Glenn vehicle and Rocket Lab’s Neutron, Relativity’s Terran R rocket may actually be able to compete with Falcon 9.
Ellis further revealed that Terran R already has at least one signed customer, with many others expressing interest behind the scenes. Though the company’s official timeline is incredibly ambitious, Relativity says Terran R could launch as early as 2024, giving the company less than three years to develop the giant rocket from scratch.
It is still unclear how either stage of Terran R will be recovered, nor how the rocket will integrate into the already existing launch facilities being built for Terran 1 at the Cape Canaveral Space Force Station’s (CCSFS) LC-16 pad. Nonetheless, Ellis and the entire Relativity team seem determined to deliver on their promises. Ellis didn’t shy away from bold and undeniable claims, either, stating that “we are definitely launching this year.” “I have no doubt about that…at this point, barring an act of nature or something going seriously wrong in stage testing.”
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
