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Relativity Space’s first 3D-printed rocket goes vertical for launch debut
Relativity Space’s first 3D-printed Terran 1 rocket has rolled out to the startup’s Florida pad and been raised vertical ahead of its launch debut.
Founded in 2015, the private Los Angeles-based spaceflight company shipped its first complete rocket prototype to Florida in June 2022. Prior to that major milestone, Relativity qualified Terran 1’s orbital second stage at leased facilities located at NASA’s Stennis Space Center in southwest Mississippi, and – alongside a nosecone and interstage – arrived at Cape Canaveral Space Force Station (CCSFS) more or less ready to fly.
The last six months have been almost exclusively dedicated to testing Terran 1’s larger and more powerful first stage (booster) as thoroughly as possible. Instead of building a dedicated booster test stand in Mississippi, Relativity chose to modify Terran 1’s lone LC-16 launch pad for the crucial task. Ultimately, the startup was able to complete a large amount of booster testing on the ground, significantly increasing the odds that Terran 1 will perform as expected when it lifts off for the first time.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Beginning with cryogenic proofing, propellant loading, ‘spin starts,’ and several shorter static fire tests, Relativity’s first Terran 1 booster test campaign culminated with two long-duration static fires in September 2022. The final 57 and 82-second static fires weren’t quite the “full mission duration” tests Relativity had hoped for, but the company concluded that the data gathered was enough to clear the booster for flight.
According to Ellis, one of the most important insights gained from those tests was into Terran 1’s uncharacteristically complex autogenous pressurization system – unprecedented for such a small rocket. Generally speaking, orbital-class rockets store helium gas in small ultra-high-pressure tanks (COPVs) and use helium to pressurize their propellant tanks as they are drained of propellant. Autogenous pressurization refers to an alternative in which a portion of a rocket’s liquid oxidizer and fuel are turned into hot gas and injected back into their respective tanks to pressurize them.
Helium is extremely expensive and an unrenewable resource. In theory, autogenous pressurization – at the cost of being significantly more complex and finicky – can also reduce the amount of dry mass reserved for tank pressurization. While Terran 1 wasn’t able to complete a full-duration static fire, the tests it did complete showed Relativity that its autogenous pressurization systems are unlikely to be a problem in flight, mostly eliminating a major source of uncertainty.
Following the final 82 or 88-second static fire, Relativity returned Terran 1’s booster to LC-16’s hangar and shifted its focus to fully assembling the two-stage rocket and finishing the launch pad. In early December, the company announced that it had fully assembled the first Terran 1. Days later, the rocket was installed on the pad’s “Transporter Erector.” The T/E responsible for transporting the rocket and raising it vertical, but it also needs to connect the rocket to ground systems (propellant, power, comms, etc.) and hold it down before liftoff.
On or around December 6th, Terran 1 rolled out to the pad and was raised vertical soon after. According to Ellis, all that stands between Terran 1 and its first launch is a short integrated static fire test and a launch license from the Federal Aviation Administration (FAA). It’s impossible to say how long the FAA will take, but it’s likely that Relativity will be technically ready to launch just a handful of weeks from now.
Beyond building a relativity impressive rocket, Relativity’s claim to fame is large-scale 3D printing. The startup says that the first Terran 1 rocket – booster, upper stage, fairing, engines, and all – is 85% 3D-printed by mass and the largest single 3D-printed object ever built. Terran 1 reportedly weighs around 9.3 tons (20,500 lb) empty; will measure around 33 meters (110 ft) tall and 2.3 meters (7.5 ft) wide; and will produce around 90 tons (~200,000 lbf) of thrust at liftoff. The rocket is designed to launch 1.25 tons (~2750 lb) to low Earth orbit for $12 million
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
