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SpaceX’s orbital Starship launch pad tank farm comes to life for the first time

SpaceX's orbital Starship tank farm has begun venting for the first time in a sign that testing of the storage vessels has finally begun. (NASASpaceflight)

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Update: Two days after a bevy of tanker trucks began to arrive at SpaceX’s orbital Starship launch site with load upon load of cryogenic liquid nitrogen, the company’s custom-built tank farm appears to have taken its very first ‘breaths.’

In other words, at least one of seven massive propellant storage tanks – two of which appear to have been fully completed and insulated – began venting. For a tank like SpaceX’s ground support equipment (GSE) tanks, the level of venting observed can only mean one thing: pressure maintenance during operations with cryogenic fluids. As cryofluids are loaded into empty tanks, they inevitably come into contact with warm pipes and tank walls, rapidly warming a portion of the liquid that then boils into gas. Tanks then need to vent that excess gas to avoid bursting.

In the case of SpaceX’s two completed liquid oxygen GSE tanks and a spate of liquid nitrogen (LN2) deliveries this week, it’s clear that the company has begun the process of testing and activating part of its brand new orbital-class Starship tank farm – beginning with much less risky LN2 proof testing. Filling the two finished LOx tanks with LN2 should also serve the dual purpose of flushing and cleaning them of any debris or contaminants, ensuring that it’s safe to fill them with LOx when the time comes.

For the first time, SpaceX appears to have begun delivering large quantities of cryogenic fluids to Starship’s orbital launch pad – still under construction but fast approaching some level of initial operational capability.

Sometime in the morning on September 19th, a semi-truck carrying a cryogenic liquid nitrogen (LN2) transport trailer arrived at SpaceX’s Starbase launch facilities. Normally, that would be a completely mundane, uninteresting event: SpaceX has used and will continue to use liquid nitrogen to safely proof test Starship prototypes and supercool their liquid methane (LCH4) and oxygen (LOx) propellant for the indefinite future. However, up to now, 100% of all Starbase cryogen deliveries have gone to the suborbital launch site, where two “mounts” and a few concrete aprons have supported all Starship and Super Heavy tests and launches to date.

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Instead, this particular LN2 tanker headed for Starbase’s first orbital tank farm and began to offload its cryogenic liquid cargo at a number of brand new fill stations specifically designed for the task.

Still well under construction and at least a few weeks or months from total complete, Starship’s orbital launch site tank farm will ultimately be a group of eight massive storage tanks surrounded by thousands of feet of insulated plumbing, industrial pumps, a small army of “cryocoolers,” a blockhouse filled with human-sized valves, and much more. Said tank farm has been under construction for the better part of 2021, beginning with work on its concrete foundation this January.

Nine months later, the orbital tank farm is nearly complete. A power distribution and communications blockhouse has been complete for weeks with virtually all the wiring and cabling needed for the orbital launch mount and tower already in place. Several hundred feet of concrete cable and plumbing conduit have been filled with thousands of feet of wires, cables, and pipes and been sealed and buried. The tank farm blockhouse – where a dozen or so massive valves control the flow of propellant to and from the orbital launch mount and tower – is complete save for some final plumbing.

Finally, seven of eight GSE (ground support equipment) tanks have been installed and partially plumbed. Built in the same factory, six are virtually identical to Starship and Super Heavy tanks and will store LOx (3x), LN2 (2x), LCH4 (2x), and around a million gallons of water. Save for one LCH4 tank, all have been installed at the farm and that last tank (known as GSE8) is nearly complete back at the build site. Additionally, to insulate those seven thin, steel storage tanks, SpaceX has contracted with a water/storage tank company to build seven “cryoshells” and said million-gallon water tank.

The water tank was installed months ago and all seven shells are completed and ready to go as of last month. Only two of those seven cryoshells have been installed – and, rather asymmetrically, both on LOx tanks. SpaceX recently rolled the first LN2 tank cryoshell to the farm and could install it soon but as of now, it will likely be weeks before the orbital tank farm will have sleeved, insulated LOx, LN2, and LCH4 tanks ready for testing.

SpaceX appeared to (partially) fill Starship’s orbital launch pad ‘tank farm’ with cryogenic fluid for the first time on Sunday. (Starship Gazer)

At the moment, that’s one of the biggest points of uncertainty standing between SpaceX and the ability to test Super Heavy or Starship at the orbital launch site. It’s entirely unclear if uninsulated GSE tanks can support any kind of substantial testing – like, say, the first full Super Heavy static fire test campaign – before their contents effectively boil off. As such, it’s a bit of mystery why SpaceX then had at least three tanker loads of liquid nitrogen – likely more than 70 tons (~150,000 lb) total – delivered to the orbital tank farm on September 19th.

By all appearances the first time that the farm’s actual main tanks have been filled with anything, that liquid nitrogen seems to have been loaded into one or both of the two insulated LOx tanks. There are two or three main explanations. First, SpaceX could simply be testing those more or less completed tanks with their first cryogenic fluids. Those partial ‘cryo proof’ tests would also help clean and flush out the interior of the LOx tanks, removing mundane debris or contamination that could become a major hazard when submerged in a high-density oxidizer. Given that both tanks can easily hold ~1300 tons (~2.9M lb) of liquid nitrogen, 70 tons is more of a tickle than a test, though, so a magnitude more would need to be delivered to perform even a half-decent bare-minimum cryoproof.

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The other distinct possibility is that SpaceX plans to temporarily use one or both of the only two finished orbital pad tanks to store liquid nitrogen for Super Heavy Booster 4’s first cryogenic proof test. Either way, SpaceX has test windows scheduled every day this week, beginning with a six-hour window that opens at 5pm CDT today (Sept 20). Stay tuned to find out what exactly SpaceX plans to test and if the orbital tank farm and its first taste of liquid nitrogen are involved!

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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