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SpaceX rolls Raptor Vacuum engines to launch pad for Starship’s next tests

A Raptor Vacuum engine is pictured among sea-level siblings inside a Starbase hangar. (SpaceX)

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For the second time, SpaceX is gearing up to install a full six Raptor engines on the first orbital-class Starship prototype.

This time around, though, there’s reason to believe that the preparations SpaceX is making aren’t a false start and could culminate in one or several record-breaking Starship static fires as early as next week.

SpaceX installed Raptors on Starship S20 for the first time in early August, outfitting the 50m (165 ft) tall prototype with a full six engines as part of a fit test that ultimately saw it installed on top of a Super Heavy booster. Ship 20 only spent an hour on top of Booster 4, though, and was quickly returned to Starbase build site for Raptor removal and final outfitting. Ship 20 was then rolled back to the launch site and installed on one of two suborbital launch mounts and test stands in mid-August, where it has sat ever since.

Between September 4th and 10th, SpaceX then appeared to install three sea-level-optimized Raptor Center (RC) engines and one Raptor Vacuum (RVac) engine on Starship S20 before the prototype had completed any proof testing. Whether that set of installs was a fit test or an aborted attempt at full installation, SpaceX seemingly paused at three or four Raptors and ultimately removed the lone RVac and one or more of S20’s sea-level engines. Another sea-level Raptor was (re)installed on September 15th.

After a frenetic month of back and forth with no obvious rhyme or reason, all of Ship 20’s Raptors were removed and a series of hydraulic rams used to simulate engine thrust – removed, unused, back in August – were reinstalled. Starship then completed pneumatic and cryogenic proof tests in the last few days of September.

Starship S20 fires up for the first time with Super Heavy B3 and B4 in the rafters. (NASASpaceflight – bocachicagal)

After another ten or so days of unusual downtime, SpaceX began reinstalling Raptors on Ship 20 – one sea-level and one vacuum – around October 10th for a static fire test campaign that began about a week later. Finally, on October 21st, SpaceX fired up the orbital-class prototype for the first time, also completing the first test of a Raptor Vacuum engine installed on a Starship. Barely an hour later, Starship S20 performed a second test, simultaneously firing up both RVac and RC engine in another first.

Barely a full day after that successful back-to-back static fire test, SpaceX rolled two more sea-level Raptors to the suborbital pad and installed them on Ship 20. Another unusual week of downtime later and, on October 28th, SpaceX has rolled two more Raptor Vacuum engines from the build site to the launch pad and staged them beside Starship. Once installed, Starship S20 will, for the second time, be fully outfitted with six Raptors. Having already fired up two of those engines without needing either replaced, though, there’s a decent chance that all six will actually be used before Ship 20’s next bout of engine removal/installation deja vu.

SpaceX has never fired more than three engines at a time on a Starship prototype or at its suborbital test site, so a number of firsts potentially lay before Ship 20 as it nears a second round of static fire testing. There is some uncertainty as to whether the suborbital test stands can actually handle the stress from static fires with more than three Raptors, but if they can, then S20 will likely be the first prototype to ignite more 4+ engines and could become the first Starship to fire all six engines at once.

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SpaceX currently has one possible test window scheduled from 10am to 6pm CDT on Monday, November 1st, though it could be another week or more before Starship S20’s next static fire attempt if past trends continue.

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.

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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.

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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.

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.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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.

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