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SpaceX has finally begun filling Starship’s orbital launch site fuel tanks
Almost five months after SpaceX began the process of filling and testing the first custom-built propellant storage system for Starship, the largest rocket ever built, the company has finally begun to fill the fuel half of the ‘tank farm’.
SpaceX began delivering truckloads of liquid nitrogen (LN2) to the LN2 and liquid oxygen (LOx) sections of the tank farm in mid-September 2021, well before the farm was anywhere close to completion. In about a month, SpaceX accepted ~60 LN2 deliveries – enough to partially fill one of the farm’s seven cryogenic tanks. Instead of some operational purpose, that LN2 was likely used to clean and partially proof the farm’s three LOx tanks. Just two weeks later, the orbital tank farm received its first LOx deliveries.
At the time, mere days after the basic structure of the main tank farm storage system was effectively completed, most figured that it would take SpaceX about as long to clean, proof, and begin filling the farm’s two liquid methane tanks. That would not be the case.
SpaceX installed the second of the farm’s two vertical SpaceX-built cryogenic liquid methane (LCH4) tanks in mid-October 2021. All seven cryogenic tanks had ‘sleeves’ – designed to be filled with foam insulation – installed by the end of the month, effectively completing the farm’s basic structure half a year after assembly began. However, around the same time, SpaceX also installed two horizontal tanks that were also identified as LCH4 storage – giving the overall tank farm far more fuel storage than its oxidizer (LOx) tanks could match. Starship’s Raptor engines burn about 3.55 kilograms of LOx for every 1 kilogram of LCH4.
As work on the vertical LCH4 tanks appeared to slow to a crawl, it took until December 2021 for SpaceX to begin cleaning and proofing the farm’s horizontal LCH4 tanks with liquid nitrogen. By that time, a rough unofficial narrative had been constructed to explain the lack of progress on the farm’s fuel half. Namely, in an excellent Twitter thread, CSI Starbase made a strong case that SpaceX appeared to have designed the first orbital-class Starship tank farm – a compact and pleasingly symmetric set of eight vertical storage tanks – without taking into consideration rudimentary Texas regulations for the storage of liquid natural gas and methane. By all appearances, that conclusion was correct, as the farm was visibly violating several rules – namely the requirements that all LCH4 storage be surrounded by six-foot-tall retaining walls and that all associated plumbing not be situated under power cabling.
As it exists, the LCH4 side of the vertical tank farm violates both of those rules and it’s not obvious that there is actually enough space between the two vertical methane tanks to build a retaining wall with two feet of horizontal clearance. It’s possible that the situation is more complex and that SpaceX intentionally broke those rules or was pursuing an exception to them but the end result was that those vertical LCH4 tanks have yet to be finished, let alone cleaned or proof tested. Instead, SpaceX appears to have fully refocused on horizontal tanks and most recently tore down a dirt berm beside them and began preparing foundations for at least two or three more.
Those horizontal tanks appear to store about 1000 cubic meters (~35,000 ft^3) of LCH4, while the vertical tanks would have stored about 1800 m^3. To fully replace them, SpaceX will need approximately four horizontal tanks – two more in addition to the two already installed. Thankfully, SpaceX has finally begun filling the already installed tanks while it works to expand the methane farm, beginning with three truckloads on the very first day – February 13th, 2022.
To fill the two existing tanks, which may store enough methane to fuel a stacked Starship and Super Heavy about 4/5ths of the way, SpaceX will need around 40-50 more tanker deliveries. Since last November, SpaceX has completed more than 320 liquid nitrogen and 200 liquid oxygen deliveries – equivalent to about 6700 tons (~14.8M lb) of LN2 and 4200 tons (~9.3M lb) of LOx. If SpaceX maintains that average and focuses entirely on LCH4, the two horizontal tanks could be filled to the brim before the end of February.
Having a substantial amount of LCH4 stored at the orbital tank farm will finally allow SpaceX to attempt the first major wet dress rehearsals (WDRs) and, more importantly, the first full static fires with flightworthy Super Heavy booster prototypes. Of course, a tank farm with full supplies of LOx, LCH4, LN2, and their gaseous equivalents is also a necessity for the first orbital Starship launch attempt, which has most recently slipped from a target of mid-2021 to no earlier than (NET) Q2 2022, pending regulatory approval.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
