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SpaceX ‘sleeves’ Starship-derived propellant tank for the first time – here’s why
In a small but important step towards activating a pad capable of launching the largest and most powerful rocket ever built, SpaceX has ‘sleeved’ one of its Starship-derived propellant storage tanks for the first time.
Starship is a fully-reusable, two-stage liquid rocket designed to ultimately cut the cost of orbital launch by at least one magnitude, opening the door for humanity’s sustainable expansion to Earth orbit, the Moon, Mars, and even beyond. To accomplish that lofty feat, it has to be a massive rocket. Measuring approximately 120m (~395 ft) tall and 9m (~30 ft) wide, Starship and Super Heavy will weigh on the order of 300 metric tons (~675,000 lb) when empty.
Once filled to the brim with cryogenic liquid methane (CH4) and liquid oxygen (LOx) propellant and gas, though, a two-stage Starship will easily weigh more than 5000 tons (11 million lb) shortly before and after liftoff. Further, SpaceX wants to be able to launch at least two Starships from Boca Chica in rapid succession. To meet the staggering needs of back-to-back Starship launches, SpaceX has thus had to design and build what will be the world’s largest launch pad tank farm.
Work on that tank farm is already well underway, though progress has been slower than expected. The site’s foundation and a few associated blockhouses were mostly completed by January 2021. By early April, the company had completed the first of at least seven steel propellant storage tanks at its Starship factory and rolled it to the launch pad for installation.
Notably, SpaceX chose to manufacture those storage tanks itself and ended up building structures virtually identical to the tanks that already make up most of flightworthy Starship and Super Heavy airframes. Depending on whether they’re meant to store liquid oxygen or methane, the seven tanks SpaceX is building are either 26 or 30 meters (85 or 100 feet) tall – though the concrete mounts they’re affixed to at the launch site are sized such that all storage tanks will have the same final height.
Of course, being made with the same tools and out of the same steel as Starship and Super Heavy, that means that SpaceX’s custom storage tanks are little more than 4mm (~1/6″) thick steel shells – about as bad as it gets for keeping cryogenic rocket fuel… cryogenic. If SpaceX were to simply use those unmodified tanks, it would be almost impossible to store Starship fuel for more than a few hours – and maybe just a few minutes – without it warming up past the point of usability.
As such, SpaceX’s final Starship tank farm design involves seven Starship-derived storage tanks and seven contractor-built tank sleeves. Measuring around 12m (~40 ft) wide and 40m (~130 ft) tall, those “cryo shells” will enclose all seven SpaceX-built tanks, allowing the company to fill the 1.5m (~5 ft) gap between them with an insulating solid, gas, or some combination of both. With those shells and insulation, SpaceX’s custom-built Starship tank form should be more than capable of storing cryogenic liquid oxygen and methane for days or even weeks.
As of August 5th, SpaceX has installed three of Starship’s custom ground supply equipment (GSE) tanks (with a fourth moved onsite on Thursday), moved two ‘cryo shells’ to temporary storage spots at the pad, and installed one cryo shell that actually turned out to be a million-gallon water tank. On Thursday, SpaceX ‘sleeved’ one of those storage tanks for the first time ever, marking an important milestone towards the activation of a tank farm capable of supporting Starship’s orbital launch debut. Another four sleeves are more or less complete, with the eighth and final sleeve likely just a week or two away from completion.
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A fifth GSE tank is also more or less complete, leaving two more to go. However, with some basic math, it’s possible to determine that SpaceX’s orbital launch pad likely only needs five cryogenic tanks (three oxygen, two methane) – and possibly as few as four – to support Starship’s first orbital test flight(s). With SpaceX finally beginning to install tank sleeves, it’s possible that that four or five-tank milestone – and the first tests of SpaceX’s custom, unproven storage solution – are now much closer at hand.
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
