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SpaceX set to launch reused Dragon on a new Falcon 9 as NASA requests delay
An electrical fault aboard the International Space Station (ISS) has forced NASA to delay SpaceX’s CRS-17 Cargo Dragon launch from May 1st to May 3rd, giving the station’s crew more time to fix the issues at hand.
A new Falcon 9 Block 5 booster is tasked with launching the spacecraft and completed a static fire test at SpaceX’s LC-40 pad on April 27th. The Cargo Dragon capsule, however, completed its first orbital resupply mission (CRS-12) in September 2017 and has since been refurbished for a second launch. After CRS-17, three launches remain on SpaceX’s CRS1 NASA contract between now and early 2020, after which Dragon 2 (i.e. Crew Dragon) is expected to take over. However, a recent failure during a Crew Dragon test have thrown those plans into question.
Cargo Dragon’s 17th mission
Known as C113, the CRS-12 capsule is the last Dragon 1 manufactured by SpaceX, leaving a fleet of five flight-proven spacecraft for SpaceX to complete the eight remaining ISS resupply missions under its Commercial Resupply Services 1 (CRS1) contract. CRS-17 is the latest installment in SpaceX’s ISS resupply saga and is manifested with ~2500 kg (5500 lb) of cargo.
Along for the ride are NASA’s Orbiting Carbon Observatory-3 (OCO-3) and the multi-experiment STP-H6 investigation, two large pieces of hardware that will be delivered to the ISS in Dragon’s unpressurized trunk. After being berthed to the ISS, astronauts will unpack dozens of packages stored inside Cargo Dragon’s cabin. Sometime later, the station’s Canadarm2 will be used to grab OCO-3 and STP-H6 and install each on the outside of the space station, where they will hopefully live long and scientifically fruitful lives.
SpaceX and NASA have assigned a new Falcon 9 Block 5 booster – likely B1056 – to launch CRS-17. To preserve the scene of Crew Dragon C201’s April 20th explosion, the booster will attempt to land around 20 miles (32 km) offshore aboard drone ship Of Course I Still Love You (OCISLY). Originally scheduled for April 25th, CRS-17 was delayed to the 26th, 30th, 1st, and now May 3rd, most of which were requested by NASA for ISS scheduling purposes.
The latest delay – from May 1st to no earlier than (NET) May 3rd – was triggered by an unexpected electrical fault aboard the ISS, cutting the redundancy of its Canadarm2 (SSRMS) control systems from two strings to one. In other words, Canadarm2 – used to ‘grapple’ and berth spacecraft like Cargo Dragon and Cygnus to the station – is now just one electrical fault away from being rendered inoperable. CRS-17 will stay grounded until two-string (i.e. single fault) redundancy is returned to Canadarm2 and additional impacted systems.
In the event that ISS astronauts and NASA ground control are able to repair the electrical systems in a timely fashion, CRS-17 is scheduled to launch at 3:11 am EDT (07:11 UTC) on May 3rd.
In the shadow of Crew Dragon
A recent catastrophic failure of Crew Dragon (i.e. Dragon 2) raises serious questions about SpaceX’s follow-up CRS2 contract, but the nominal plan involves retiring Dragon 1 after CRS-20 and flying all future cargo missions with flight-proven Crew Dragon spacecraft. In the likely event that Crew Dragon C201’s failure delays SpaceX’s CRS2 schedule by several months, there are contingency plans to continue flying refurbished Dragon 1 spacecraft.
However, each Dragon 1 was designed for a maximum of three orbital missions, meaning that SpaceX’s current capsule fleet can support no more than six additional resupply missions before they reach the end of their usable lifespans. SpaceX thus has two potential buffer missions – CRS-21 and CRS-22 – that could theoretically account for up to a year of Dragon 2 delays. Beyond that, additional Dragon 2 delays could create a gap where NASA would have to supply the ISS without SpaceX’s services.
In a best-case scenario, SpaceX and NASA will quickly uncover an unequivocal culprit of C201’s catastrophic explosion, fix the technical and organizational failures that allowed it to happen, and be back on their feet in no time. In reality, it’s likely that the failure will delay future Crew Dragon (and thus Dragon 2) launches by a minimum of 6-12 months. SpaceX will likely need to change up the launch order of its capsules, reassigning DM-2’s Crew Dragon to the in-flight abort (IFA) test and the US Crew Vehicle 1 (USCV-1) Crew Dragon to SpaceX’s first crewed demonstration mission (DM-2). After such a serious and potentially fatal failure, it’s even possible that NASA will require an additional uncrewed orbital launch before permitting SpaceX to fly astronauts on Crew Dragon.
Given that SpaceX’s nominal CRS2 plan involved lightly modifying and reusing Dragon 2s after crewed missions, the future (and schedule) of the company’s Cargo and Crew contracts are intimately intertwined. With any luck, SpaceX and NASA will be able to solve the technical, organizational, and logistical problems now facing them and ensure a stable future for Dragon 2. In the meantime, Cargo Dragon’s CRS-17 mission offers SpaceX a chance to partially verify that Cargo Dragon C201’s issues are are relegated to Dragon 2 and Dragon 2 alone.
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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
