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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.”
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.
Tesla just trademarked MEGAPOD: here’s what it is
SpaceX is launching a secret spacecraft that could change how things are made in space
