Connect with us

News

SpaceX prepares Starship, Super Heavy for milestone Raptor static fire tests

Starship S20 and Super Heavy B4 are fast approaching readiness for their first crucial tests - including multiple Raptor static fires. (NASASpaceflight - bocachicagal)

Published

on

SpaceX has scheduled a full week with as many as 30 hours of road and beach closures for Starship and Super Heavy testing and is working hard to prepare the first orbital-class ship and booster for several major challenges.

First rolled to SpaceX’s Starbase orbital launch site more than six weeks ago and stacked together for the first time on August 6th, the company has spent the last month putting the finishing touches on Starship 20 (S20) and Super Heavy Booster 4 (B4) – ranging from heat shield installation to plumbing and wiring. Perhaps most importantly, SpaceX has also installed some or all of the Raptor engines that are expected to support the ship and boosters’ first static fire qualification tests.

For a number of reasons, those static fires – and a few additional tests expected to precede them – could be huge milestones for SpaceX’s Starship program.

SpaceX appears to have begun finalizing the Raptor engines that will be aboard Super Heavy for its first major static fire testing. (NASASpaceflight – bocachicagal)

Earlier this month, after rolling Starship S20 to the launch pad for the second time and installing it on one of two suborbital launch/test mounts, SpaceX began the process of installing Raptor engines (again for the second time) on the rocket. Beginning with two center sea level-optimized Raptors, SpaceX then installed a Raptor Vacuum engine on Ship 20. The implication: when S20 fires up for the first time, it might be doing so with two kinds of Raptor engines – a first for the Starship program.

Since Raptor Vacuums first began static fire testing at SpaceX’s McGregor, Texas development campus around Q4 2020, the company has yet to fire up an RVac engine on a Starship prototype. Starship’s current design features three gimballing sea-level Raptors and three vacuum-optimized variants with much larger nozzles – all in close proximity inside a 9m-wide (30 ft) skirt.

S20 had six engines installed for the first time in Starship history on August 4th. (Elon Musk)
Those engines were removed when S20 returned to the launch site late last month but have been gradually reinstalled over the last two weeks. (NASASpaceflight – bocachicagal)

As such, the first Starship static fire with any combination of Raptor Center and Raptor Vacuum engines will be a significant milestone for SpaceX. Eventually, that will likely culminate in the first static fire(s) of a Starship (likely S20) with all six Raptors installed – a test that will effectively qualify that prototype for its first orbital launch attempt.

Meanwhile, things are arguably even more complex for Super Heavy. Aside from a single three-engine static fire completed by Super Heavy Booster 3 (B3), Starship’s first stage has never come close to a full-up static fire with all 29-33 Raptor engines installed. Whenever that occurs, Super Heavy will likely become the most powerful rocket ever tested and – like with Starship – will be more or less qualified for its first flight if the test goes according to plan.

Super Heavy B4’s first and second trips onto the orbital launch mount. (SpaceX/SPadre)

SpaceX already installed a full 29 Raptor engines on Super Heavy B4 last month. After returning to Starbase, those engines were removed and eventually reinstalled a few weeks later – albeit with a number of replacements. Now, having spent the last 11 days sitting on the orbital pad’s launch mount, SpaceX has begun to replace at least one of Booster 4’s 29 installed engines. It’s unclear why but the fact that SpaceX is replacing engines at the launch pad – instead of rolling Super Heavy back to the build site for the third time – is an encouraging sign that B4 is nearly ready for its first proof and static fire tests.

Due to all the recent activity, it’s almost impossible to tell whether Starship S20 or Super Heavy B4 will be first onto the figurative saddle for ambient pressure, cryogenic, and static fire proof testing. What is clear, though, is that SpaceX has five six-hour testing windows scheduled every day next week. Stay tuned for updates on the next steps for SpaceX’s first orbital-class ship and booster pair.

Advertisement
-
-

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

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.

Published

on

By

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.

Continue Reading

Investor's Corner

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

Published

on

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.

Continue Reading

Investor's Corner

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

Published

on

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.

Continue Reading