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SpaceX’s Raptor engine nears flight-readiness for BFR spaceship hop tests
In a presentation that revealed plans for a private mission to the Moon in as early as 2023, SpaceX CEO Elon Musk dedicated a couple minutes to BFR’s booster and spaceship rocket engine of choice, Raptor. Musk had nothing but praise for SpaceX’s propulsion engineers and technicians, stating that he was “really excited” about the propulsion system’s advanced design.
SpaceX has completed over 1,200 seconds of firing across 42 main Raptor engine tests. pic.twitter.com/EhxbPjd8Cj
— SpaceX (@SpaceX) September 29, 2017
Judging from a total of 1200 seconds of hot-fires completed just under a year ago, it’s safe to assume that Raptor has soared beyond that measure. Most recently, photos captured earlier this summer showed that a new prototype was installed on SpaceX’s horizontal Raptor test stand in McGregor, Texas, looking nearly identical to the deep black Raptor nozzle shown in Monday’s presentation. Previous Raptor prototypes seen during testing or at the test stand appeared to have a nozzle closer to SpaceX’s silver Merlin 1Ds, whereas this newest iteration’s nozzle doesn’t seem to reflect the powerful spotlights surrounding it.
Perhaps not a coincidence, SpaceX’s propulsion engineering lead Tom Mueller stated in May 2018 that flight-ready Raptors were already “in work”, with the implication being that the finalized Raptor design had been completed and that manufacturing work was beginning in earnest. Barring an unexpected shift in testing strategies, SpaceX will optimize and verify Raptor’s flight design over the course of several hundred seconds of static fire tests, eventually leading into the same practices used for Falcon 9.
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- A September 2018 render of Starship (then BFS) shows one of the vehicle’s two hinged wings/fins/legs. (SpaceX)
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- In 2018, Musk decided to sidestep vacuum engines entirely, moving to 7 SL Raptors. (SpaceX)
“This is a stupidly hard problem and SpaceX engineering has done a great job with this design.” In a May 2018 tweet, Musk added that “this engine is something special.” – Elon Musk, 09/17/18
Prior to being installed on any BFR prototypes, all Raptors will thus go through acceptance testing in Texas, potentially followed by a full-up static fire of the first completed BFR spaceships. Falcon 9 boosters – capable of roughly 7600 kN (1.7 million lbf) of thrust – are routinely tested in McGregor, while a full BFR spaceship with 2017-grade Raptors (1700 kN at sea level) would produce 12,000 kN (2.7 million lbf) of thrust with all Raptors firing. However, due to the sheer difficulty of transporting something 9 meters in diameter by road, it’s more likely that SpaceX will need to build up a dedicated static fire and hop test facility near the coast of Texas, at a spot called Boca Chica.
An immense liquid oxygen (LOX) tank just arrived at @SpaceX's prospective Boca Chica, TX facility, likely to be dedicated to BFR & BFS testing. @NASASpaceflight forum user "Nomadd" caught some of the first detailed photos, as well as the tank's arrival at SpaceX land on July 11. pic.twitter.com/hr7SeA6BGw
— Eric Ralph (@13ericralph31) July 12, 2018
Getting to hop tests
As it turns out, massive propellant storage tanks (vacuum insulated) have already begun arriving at SpaceX’s Boca Chica facilities, currently dedicated to a duo of tracking and communications radars to be used for Crew Dragon communications. Over the course of the next 12 or so months, SpaceX is thus likely to expand and develop its Boca Chica facilities, culminating – if all goes well – sometime late next year with the first shipment of a prototype BFR spaceship from Port of Los Angeles, through the Panama Canal, to Port of Brownsville, Texas.
“I’m really excited about this engine design, I think the SpaceX propulsion team has done an amazing job – the SpaceX structures and aero team has done a phenomenal job in the design of this.”
“Even others in the aerospace industry don’t know what question to ask – once we could frame the question [with precision], the answers [for Raptor and BFR R&D] flowed.” – Elon Musk, 09/17/18
SpaceX has already completed the first composite segment (both a section of the fuselage and of a propellant tank) of the first BFR spaceship prototype, and Musk further stated that BFR’s structural engineers and technicians would begin fabricating the spaceship prototype’s propellant tank domes and engine section “soon”. A vast amount of work remains to be completed before that prototype will begin to look anything like an actual spaceship, and the exact fidelity SpaceX is hoping to achieve with it is unclear.
If the company tries to get as close as possible to a finished product (within reason, of course) before beginning propulsive hop tests in Texas, a very late-2019 debut of that test campaign could be a practical goal. It’s not a perfect comparison, but Falcon 9 is perhaps the best prior example of SpaceX’s speed of development, moving from structural fabrication and testing (albeit with Falcon 5 in mind) in 2006 and 2007 to a full-up orbital launch of the first Falcon 9 in mid-2010, with milestones like the first static fire of a booster octaweb and nine Merlin 1C engines 6-12 months prior.
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Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
