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Relativity Space “closer and closer” to first launch of a fully 3D-printed rocket
Relativity Space, a Long Beach, California-based aerospace startup, aims to alter the manufacturing process of rockets forever by 3D-printing almost every piece of their orbital-class Terran rockets.
The company was co-founded in 2015 by CEO Tim Ellis (departing Blue Origin) and Jordan Noone (departing SpaceX), with both engineers leaving their positions at these industry giants with one goal in mind: build and launch the world’s first 3D-printed orbital rocket.
In the last two and a half years, the startup has managed to raise nearly $1.3 billion through private investors including Baillie Gifford, Blackrock, BOND, Fidelity, General Catalyst, and Mark Cuban. That amount of investment makes Relativity one of the most valuable and best-funded private aerospace companies in recent history – second only to Elon Musk’s SpaceX, which has raised more than $7.7 billion in about a decade.
Relativity’s rocket manufacturing facility, “The Factory of the Future,” is located in Long Beach, California, and is home to Stargate – the world’s largest 3D printer. According to Ellis, Stargate is capable of printing virtually all of the parts required for the world’s first 3D-printed rocket, Terran 1, and the first fully reusable 3D-printed rocket, Terran R, from raw material to flight in just 60 days. To accomplish that unprecedented feat and create the largest metallic 3D-printed structures ever attempted, Relativity has developed multiple proprietary alloys.
Beyond its extremely exotic manufacturing approach, Terran 1 is a fairly standard two-stage rocket primarily designed to launch small satellites to low Earth orbit (LEO). The first stage is powered by nine Aeon 1 engines, each producing around 23,000 pounds of force (100 kN) at launch and 25,400 lbf (113 kN) in the vacuum of space. The engine is powered by liquid methane (LCH4) and liquid oxygen (LOx) and is made out of several proprietary 3D-printed alloys. The second stage is powered by one Aeon 1 Vacuum engine capable of producing up to 28,300 lbf (126 kN) of thrust in a vacuum thanks to a much larger nozzle. Terran 1 is designed to carry up to 1,250 kilograms to a very low Earth orbit (LEO).
Relativity is growing quickly and has expanded to nearly 600 employees in just a few years. Aside from their headquarters and manufacturing facility in Long Beach, CA, Relativity has planted their flag at Cape Canaveral Space Force Station (CCSFS), where it’s developing Launch Complex 16 (LC-16) for Terran 1 and Terran R. There, a team of infrastructure engineers and technicians are currently building the launch facilities that will support Terran 1’s launch debut. A separate team at Mississippi’s NASA Stennis Space Center is continually testing the startup’s engines and rocket stages.
In a recent tweet, CEO Tim Ellis revealed that the company had completed a record nine successful Aeon engine tests in a single day. The CEO also stated that stage integration for Terran 1’s launch debut was making “amazing progress.”
Relativity had previously planned for Terran 1’s first launch to take place by the end of 2021. That debut has since slipped to “early 2022”, while the company hopes its far larger reusable Terran R rocket will debut in 2024.
Relativity was recently selected by NASA to be one of 12 companies to provide launch services for the agency’s Venture-Class Acquisition of Dedicated and Rideshare (VADR) missions, providing new opportunities for more risk-tolerant science and technology payloads and fostering a growing U.S. commercial launch market. “The VADR contract will provide a broad range of Federal Aviation Administration-licensed commercial launch services capable of delivering payloads ranging from CubeSats to Class D missions to a variety of orbits. These small satellites and Class D payloads tolerate relatively high risk and serve as an ideal platform for technical and architecture innovation, contributing to NASA’s science research and technology development.”
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
