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SpaceX’s first orbital-class Starship ‘tank farm’ is almost finished
Roughly six months after the process began, SpaceX has installed the seventh and final custom-built propellant storage tank at Starbase’s first orbital-class Starship launch site.
Built out of the same factory and parts as the steel tanks that make up most of the two-stage Starship rocket’s structure, SpaceX completed the first two of those ‘ground support equipment (GSE)’ tanks in April and wasted no time installing both at Starbase’s orbital launch site (OLS). However, after a strong start, GSE tank work seemingly halted for several months and it wasn’t until August that SpaceX first enclosed one of the then three installed tanks with a sleeve designed to insulate their cryogenic contents. Since then, progress has picked back up and SpaceX has built and installed another three (for a total of six) storage tanks over the last two months.
That work effectively culminated on September 7th with the transport of the farm’s seventh and final GSE tank from build site to launch pad.
Unintuitively known as GSE-8 after SpaceX chose to scrap one of the original seven planned tanks earlier this year, the company wasted no time installing it shortly after its two-mile trip down the highway. GSE-8 is the second of two liquid methane (LCH4) tanks now installed at the orbital launch site and joins another three liquid oxygen (LOx) and two liquid nitrogen (LN2) tanks for a total of seven.
Combined, the OLS tank farm should be able to store more than 2400 tons of LCH4 and 4000 tons of LOx, as well as 2600+ tons of LN2 to be used for ‘subcooling’ (and thus densifying) that propellant well below its boiling point. Ultimately, that means that despite the massive scale of Starbase’s first orbital-class tank farm, it will still only hold enough propellant for a single orbital Starship launch and have to be almost fully restocked after each flight.
Given the logistical nightmare of arranging something like 100+ tanker trucks for each tank farm ‘refill,’ a process that could easily take a week or more on its own, it should come as no surprise that SpaceX is also building a dedicated liquid oxygen and nitrogen plant adjacent to its Starbase factory. On top of liquid natural gas (LNG) refinery and tenuous plans to potentially tap local natural gas wells, SpaceX is clearly well aware of the logistical challenges of regular Starship launches.
While there are no clear signs of the inevitable permitting and environmental reviews it would require, it’s likely that SpaceX will eventually create a brief above or below-ground cryogenic pipeline connecting its propellant factory to Starbase’s orbital launch site(s). If or when implemented, that would allow SpaceX to resupply its two planned orbital tank farms with minimal effort or human intervention beyond the process of producing the propellant.
For the time being, SpaceX will likely rely on a slow but simple parade of tanker trucks to gradually fill its first orbital tank farm. Before even that process is possible, though, SpaceX will need to finish plumbing GSE-8 and several other tanks, install the last two insulative ‘cryoshells,’ and finally fill the annuli between all seven tanks and their shells with an insulative foam-like material known as perlite. Dozens of bags of perlite and several kilns (used to expand the material into low density insulation) are already distributed around the orbital tank farm.
Meanwhile, SpaceX also continues to slowly fill the first two completed OLS tanks (nominally meant to hold LOx) with liquid nitrogen, serving both to test the tanks and pad plumbing and to clean their interiors for liquid oxygen service. Ultimately, while a good amount of work remains, Starbase’s first orbital-class tank farm could be fully ready to support its first Super Heavy booster proof and static fire test campaign just a few weeks from now.
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
