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SpaceX fires up redesigned Crew Dragon as NASA reveals SuperDraco thruster “flaps”
On November 13th, SpaceX revealed that a planned static fire test of a Crew Dragon’s powerful abort thrusters was completed without issue, a strong sign that the company has successfully redesigned the spacecraft to prevent a catastrophic April 2019 explosion from reoccurring.
Pending a far more extensive analysis, Wednesday’s static fire should leave SpaceX on track to perform Crew Dragon’s next major flight test before the end of 2019.
In an unexpected flourish of transparency, SpaceX and NASA published photos of the Crew Dragon capsule’s static fire test just a few hours after it was completed, an excellent sign that the ‘quick-look’ data analysis immediately following the test was extremely positive. Spaceflight Now was first to visually confirm that the test had occurred, publishing a photo that revealed a whitish cloud of smoke produced by the static fire around 3:15 pm EST (20:15 UTC).
Had a failure similar to the April 2019 explosion occurred, that cloud would have likely been tinged red by unburnt dinitrogen tetroxide (NTO) oxidizer, and the different appearance of November 13th’s exhaust cloud was seen as the first tentative sign that this static fire had gone more successfully.
Alongside photos of the SuperDraco thruster test published by NASA and SpaceX shortly after its conclusion, SpaceX confirmed that the test was completed without issue. Regardless of whether everything performed exactly as intended, this means that factory-fresh Crew Dragon capsule C205 made it through the test unscathed, likely securing SpaceX and NASA a large volume of uninterrupted telemetry data, as well as the hardware itself.
Just hours after C205’s static fire was completed, NASA published a detailed update, confirming that the tests were finished without any immediately apparent issues.
NASA described the test in much more detail than SpaceX, noting that it began with the ignition of two of Crew Dragon’s 16 Draco maneuvering thrusters, each performing two one-second burns. C205’s eight SuperDraco abort thrusters subsequently ignited and burned for a total of ~9 seconds to simulate required abort performance, followed by the reignition of two Draco thrusters immediately after SuperDraco cutoff.
Each capable of producing several dozen pounds of thrust, both Crew and Cargo Dragon use Draco thrusters to orient themselves in orbit, rendezvous with the International Space Station, and lower their orbits to reenter Earth’s atmosphere. Crew Dragon’s Draco thrusters are also designed to control its attitude during abort scenarios, stabilizing and flipping the spacecraft to prevent a loss of control and ensure proper orientation during emergency parachute deployment. The Draco firings during Crew Dragon’s November 13th static fire were meant to simulate that additional use-case.
Aside from verifying that SpaceX has successfully redesigned Crew Dragon to mitigate the failure mode that caused capsule C201’s catastrophic explosion in April 2019, the Draco static fires specifically mirrored the burns Crew Dragon C205 will need to perform to successfully complete its In-Flight Abort (IFA) test. As noted by NASA and SpaceX, with the static fire complete, both teams will now comb through the data produced, inspect Crew Dragon to verify its health and the performance of its redesigned high-flow pressurization system, and perform any necessary refurbishment.
SuperDraco’s mystery “flaps”
NASA’s post on Crew Dragon’s static fire revealed another thoroughly intriguing detail: the SpaceX spacecraft’s SuperDraco thrusters apparently have flaps! A bit of retroactive speculation suggests that SuperDracos are closed out with plugs of some sort to create a seal against the environment before Crew Dragon is rolled out to the launch pad. Perhaps, in the event of a SuperDraco ignition, SpaceX included actuating flaps as a method of resealing those thrusters prior to splashdown in the Atlantic Ocean.
“Immediately after the SuperDracos shut down, two Dracos thrusters fired and all eight SuperDraco flaps closed, mimicking the sequence required to reorient the spacecraft in-flight to a parachute deploy attitude and close the flaps prior to reentry. The full sequence, from SuperDraco startup to flap closure, spanned approximately 70 seconds.”
NASA, November 13th, 2019
Given that the obvious utility of those flaps appears to be extremely limited and their associated actuators have to survive the 9+ consecutive seconds of hellish conditions in the event of an actual abort, it seems like an excessively complicated system to include on Crew Dragon. Nevertheless, the ability to guarantee that SuperDracos are water-sealed before splashdown would almost without a doubt make Crew Dragon far easier to refurbish and reuse.
The SuperDraco flaps may also be a holdover from before propulsive Crew Dragon landings were canceled, although the use-cases for such a system still remain unclear. The flaps’ raison d’etre could even be as simple as preventing water intrusion that might otherwise cause Dragon to sink after splashdown.
Regardless of why they exist, NASA indicates that SpaceX’s November 13th static fire proved that they worked exactly as expected, closing soon after the simulated abort burn to seal Crew Dragon against water intrusion. If NASA and SpaceX’s deep-dive inspections and data analysis uncover no red flags, it’s extremely likely that SpaceX will able to launch C205 for its In-Flight Abort test some 4-8 weeks from now.
If the IFA also goes as planned, Crew Dragon could be ready for its inaugural NASA astronaut launch as early as February or March 2020.
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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
