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SpaceX installs Raptor Vacuum engine on first orbital-class Starship
Update: Providing the best views yet of the Raptor Vacuum installation process, SpaceX began installing one of Starship S20’s six engines (one of at least two recently trucked to the launch site) on Monday morning.
It remains to be seen exactly how many engines will be installed on Ship 20 or how many will be ignited during its first static fire test but barring the delivery of more Raptors, signs currently point to an initial test of two engines – one sea-level-optimized Raptor Center (RC) and one Raptor Vacuum with a much larger nozzle. Whenever Ship 20 does fire up those engines, it will be the first static fire of a RVac engine installed on a Starship and the first simultaneous, side-by-side static fire of two different Raptor variants. Since publishing time, SpaceX has cancelled a Tuesday road closure, pushing Starship S20’s first static fire attempt to no earlier than (NET) Wednesday evening.
For the third time in two months, SpaceX has begun installing Raptor engines on its first orbital-class Starship prototype – hopefully for good.
In no uncertain terms, Starship 20’s (S20) path to what could be its last Raptor installations has been about as windy and mysterious as they come. Starship 20 (S20) left the Starbase factory floor for the first time in early August – all six Raptors installed in another program first – for a brief fit check and photo op. After spending about an hour installed on top of Super Heavy Booster 4 (B4), Ship 20 was removed and returned to the build site, where teams removed all six engines and finished wiring and plumbing the vehicle.
Days before the ship’s long-anticipated trip to Starbase’s suborbital launch site for qualification testing, the mount SpaceX prepared for the process quickly had hydraulic rams – used to safely simulate Raptor thrust – were abruptly removed. Starship S20 was then installed on the Pad B mount, where SpaceX proceeded to reinstall six Raptors. Weeks later, after slow heat shield repairs neared completion, SpaceX again removed Ship 20’s Raptors and reinstalled the hydraulic rams it had removed – unused – the month prior. Finally, on September 30th, some seven weeks after the prototype arrived at the suborbital launch site, SpaceX put Starship S20 through its first major test – a lengthy ‘cryoproof’.
Now, ten days after completing a seemingly flawless cryoproof test on its first try, SpaceX has once again trucked multiple Raptors – at least one sea level and one vacuum engine – from the Starbase build site to Starship S20’s suborbital test stand. From the outside looking in, it’s hard not to view the contradictory path S20 took to its first tests – and is still taking to its first static fire(s) – as an unusually visible sign of some kind of internal tug of war or major communication failure between different SpaceX groups or executives.
It’s impossible to determine anything specific beyond the apparent fact that several of the steps taken from Ship 20’s first factory departure to its first cryoproof and static fire tests could have probably been deleted entirely with no harm done and many dozens of hours of work saved. At the end of the day, Starship S20 completed cryoproof testing without issue on the first try and is now seemingly on track to begin its first static fire test campaign later this month.
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At the moment, SpaceX has three possible static fire test windows scheduled from 5pm to midnight CDT on Tuesday, Wednesday, and Thursday (Oct 12-14). A similar Monday window was canceled days ago on October 7th, suggesting that more cancellations are probably on the horizon. For now, there’s a chance that Starship S20 – with anywhere from two to all six Raptor engines installed – will fire up for the first time before next weekend. It’s hard to say how exactly SpaceX will proceed. It’s not inconceivable that SpaceX will install all six engines and gradually ramp up to a full six-engine static fire over several tests.
Given that SpaceX has already static fired three Raptor Center (RC) engines on multiple Starship and Super Heavy prototypes, odds are good that Starship S20’s test campaign will be similar – beginning with a three-Raptor static fire, in other words. SpaceX could then add one, two, or all three Raptor Vacuum engines into the fray for one or more additional tests with 4-6 engines total. It’s also possible that suborbital launch mount and pad limitations will prevent more than three engines from firing at once, in which case SpaceX would presumably perform two separate tests of Ship 20’s Raptor Center and Raptor Vacuum engines.
Given that two Raptor variants have never been static fired simultaneously on the same vehicle, it’s hard to imagine that SpaceX won’t also want to perform one or several combined static fires with Raptor Vacuum and Raptor Center engines on Ship 20.
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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
