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SpaceX tests Starhopper’s maneuvering thrusters ahead of inaugural flight test
Late at night on July 22nd, SpaceX’s South Texas team of technicians and engineers were busy testing a small but critical component of Starhopper, a testbed and low-fidelity Starship prototype meant to attempt its first untethered flight test as early as July 24th.
Monday evening’s testing centered around Starhopper’s cold gas nitrogen thrusters, multi-nozzle assemblies that appear to have quite literally been taken off of flight-proven Falcon 9 boosters. For Starhopper, they will act in a similar – albeit significantly reduced – fashion, serving to control the giant steel prototype’s attitude and augment its lone Raptor engine’s own thrust vectoring (i.e. steering) capability.
Although SpaceX has never released official numbers for the thrust of the cold gas thrusters used on Falcon 9 boosters and upper stages, it’s safe to say from their performance that the low-efficiency nitrogen thrusters produce roughly 5 kN (~1100 lbf) of thrust, perhaps up to 10+ kN. For an almost empty Falcon 9 booster, this translates to extremely rapid (sub-10s) flip maneuvers during return-to-launch-site (RTLS) landings.
At the same time, Falcon boosters have two sizes of cold-gas thrusters, with much larger high-performance (>10 kN) pods – located on the larger of the booster’s two raceways – focused on settling the rocket’s propellant after recovery-related coast periods. A duo of smaller 3-axis pods situated on the outside of the interstage serve as true attitude control system (ACS) thrusters, precisely pointing, flipping, and orienting boosters during vacuum operations and partially augmenting grid fin control authority during the late stages of landings. Despite their much smaller size, they still pack an impressive punch and are famous for almost saving tipping Falcon boosters during early (failed) landing attempts.
Starhopper, meanwhile, is dramatically larger than the Falcon 9 and Heavy boosters its tacked-on ACS thruster pods were designed for. It’s hard to know for sure but safe estimates peg the testbed’s dry mass somewhere around 50-75 metric tons (110,000-165,000 lb) thanks to the thick steel it was constructed out of. In other words, Starhopper likely weighs at least twice as much as an empty Falcon 9 booster (~25 metric tons).
To alleviate this mismatch, SpaceX arrived at a hilariously simple and cheap solution: install double the number of grave-robbed Falcon 9 thruster pods on Starhopper and voila! It was that duo of thruster pod pairs that were tested on July 22nd, visibly producing four distinct jets of pressurized nitrogen gas. Whenever Starhopper gets to hopping, those ACS thrusters should help the rocket precisely control its rotation, attitude, and – to a lesser extent – translation, hopefully helping to ensure a successful inaugural hover and divert test.
Scheduled to occur no earlier than Wednesday, July 24th, SpaceX plans to deconflict Cargo Dragon’s CRS-18 launch and Starhopper’s hover test, meaning that they will not happen simultaneously. In the ~70%-likely event that bad Florida weather delays CRS-18 to Thursday, July 25th, the road before Starhopper will be clear for an attempted hover on the 24th. Additionally, also reported first by NASASpaceflight.com, the test is expected to involve a divert, meaning that Starhopper will lift off, hover roughly 20m (65 ft) off the ground, and then carefully travel a few hundred feet East to a recently-constructed concrete pad for a soft landing.
Note they will want to deconflict with CRS-18, so if that launch is still on (dodgy weather) then perhaps hours before, or after launch? OR, *personal wish!!* go from CRS-18 webcast and then pad cameras at Boca Chica on the SpaceX webcast! ?➡️?— Chris B – NSF (@NASASpaceflight) July 23, 2019
This divert was tacitly confirmed by the arrival of a robotic transport mechanism, already used once before to move Starhopper from its build site to the launch pad. If the divert goes as planned, the transport equipment will be used to return Starhopper to its spartan launch mount and ground support equipment (GSE) umbilicals.
If Starhopper survives and Raptor SN06 performs nominally, it’s all but certain that the testbed rocket will be put through a series of increasingly ambitious test flights over the coming months – at least before SpaceX’s first higher-fidelity “Mk 1” Starship prototypes begin their own flight tests. According to CEO Elon Musk, those Starship test hops and flights could begin as few as 2-3 months from now – September or October 2019.
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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
