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SpaceX adds a second drone ship to its East Coast rocket recovery fleet
On December 10th, SpaceX’s East Coast rocket recovery fleet added a second drone ship to its ranks in a bid to expand its capabilities to support dozens of annual Falcon 9 and Heavy launches, as well as experimental Starship and Super Heavy booster recoveries.
Formerly stationed out of Port of Los Angeles to support SpaceX’s once-substantial West Coast launch manifest, the need for West Coast launches has rapidly dried up over the last six months. That drought had such a long lead that SpaceX decided to transfer drone ship Just Read The Instructions (JRTI) through the Panama Canal, moving the vessel several thousand miles from Port of Los Angeles to Port Canaveral, Florida.
JRTI made it through the Canal several months ago and headed East towards Florida before making an intriguing and lengthy pit stop in a Louisiana port. While there, marine engineers and technicians performed a number of unknown tasks presumed to be a scheduled period of inspections and maintenance. In the last few weeks JRTI spent in Louisiana, SpaceX loaded the drone ship with more than a dozen huge generators and power controllers, as well as six massive maneuvering thrusters.
Although perspectives were lacking while JRTI was docked in LA, it was clear that some (or all) of the new hardware was meant for the drone ship, indicating that the rocket recovery platform could be in for some major upgrades. The aforementioned thrusters are much larger and appear to be heavier than JRTI’s former blue azimuth thrusters, four of which also adorn Florida-based drone ship Of Course I Still Love You (OCISLY).
Those massive thrusters are presumably meant for JRTI (and possibly OCISLY). The fact that they have been delivered alongside an even larger number of generators – far more than are usually present on SpaceX drone ships – indicates that their power output is probably larger, too. It’s not clear how much more powerful they are but one goal is unequivocal: with more powerful thrusters, SpaceX’s drone ships should be much more tolerant of bad weather, meaning that SpaceX will be able to launch Falcon 9, Falcon Heavy, and Starship without having to worry as much about the weather hundreds of miles downrange.
Depending on how powerful they are, it’s also possible that those upgraded thrusters are strong enough to independently power drone ships to and from their ocean landing zones. As of now, SpaceX must contract days of tugboat services to tow drone ships to and from their landing zones, by far one of the biggest recurring costs for booster recoveries. If a major power supply upgrade and much larger thrusters are indeed enough to enable independent cruise capabilities, it could significantly streamline SpaceX’s drone ship recovery efforts, cutting costs and increasing flexibility and availability.
It’s hard to say why drone ship JRTI only brought six new thrusters with it, given that SpaceX’s East Coast fleet now has two drone ships and four thrusters are needed to enable stationkeeping on just one of them. Perhaps two more thrusters are on backorder and will be delivered directly to Port Canaveral. More likely, only one drone ship – likely JRTI – will initially be upgraded with new thrusters and power equipment, leaving two spare thrusters in case those installed are damaged by recovery attempts or fail for more mundane reasons.
In the past, drone ship OCISLY has suffered a handful of recovery anomalies that forced SpaceX to replace the vessel’s blue azimuth thrusters and their associated hydraulic equipment. In some cases, a lack of replacement thrusters lead SpaceX to scavenge drone ship JRTI, leaving the ship without thrusters for several months. With these latest upgrades, SpaceX has presumably learned from those past mistakes and ensured that several spare generators and thrusters are on hand.
Given that SpaceX has yet to install those upgraded thrusters or generators on either JRTI or OCISLY, as well as the general uncertainty surrounding their purpose, it’s safe to say that the next several weeks will be exciting. For now, it’s unknown when JRTI will be ready to support its first East Coast rocket recovery, but there will be plenty of launches to choose from once she is.
With two drone ships now stationed out of Port Canaveral, SpaceX will be able to support a more capable Falcon Heavy configuration, expending the center core while recovering both side boosters at sea. SpaceX will also be able to attempt experimental Starship and Super Heavy drone ship landings while still having a spare ship to support its regular Falcon 9 missions. Most importantly, two drone ships will allow SpaceX to reach launch/landing cadences and turnaround times previously impossible with a single ship, an absolute necessity if the company hopes to achieve its goal of ~24 Starlink launches on top of 10+ commercial launches in 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
