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SpaceX ships Starship hardware from Florida to Texas to speed up production

SpaceX has quietly shipped hardware for the next Starship prototype from Florida to Texas. (NASASpaceflight - bocachicagal)

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After appearing unexpectedly at SpaceX’s Port Canaveral docks last month, several large pieces of Starship flight and manufacturing hardware were successfully shipped from Florida to Texas, arriving at the company’s Boca Chica build and launch site two weeks ago.

Previously discussed on Teslarati, the hardware transfer signals a significant shift in the development strategy for SpaceX’s next-generation Starship-Super Heavy launch vehicle. Most notably, SpaceX has chosen to prioritize Texas in the near term while the company’s Florida facilities instead aim for longer-tail milestones like the first Super Heavy-capable launch site and a new production facility located much closer to that launch site.

While the hardware SpaceX has sent over is relatively minor in the scope of producing a brand new Starship prototype, it will at least somewhat expedite the process thanks to the inclusion of what appears to be a completed propellant tank dome. Additionally, it’s possible that this December 8th hardware delivery will not be the last – a large amount of hardware remains at SpaceX’s Cocoa, Florida Starship production facility, including several ring sections and a nearly finished nose section, among a number of other parts.

As discussed last month, SpaceX has reportedly decided to more or less shutter its Cocoa facilities, transferring all permanent employees who wished to stay to Boca Chica, TX, Cape Canaveral, FL, or Hawthorne, CA facilities. SpaceX’s Starship presence in Florida is in no way done but it does sound like it’s in for at least several months of downtime.

“According to former Cocoa employee that spoke to reporter and channel creator Felix Schlang, SpaceX has reportedly transferred up to 80% of the Starship facility’s workforce to other groups in Florida and Texas. Instead of the friendly internal competition that pitted Cocoa against Boca Chica in the race to first Starship flight, SpaceX is temporarily slowing down its Florida build operations and will redirect as much of its workforce and resources as possible to Boca Chica.

Schlang’s source says that this will likely result in several months of relative downtime in Florida, while he was also told that Starship Mk2 and Mk4 are now effectively dead before arrival as a result of several challenging and reoccurring technical issues. Starship Mk2 likely shares some significant heritage with Starship Mk1, which lost its top during a pressure test. Roughly two-dozen steel Starship Mk4 rings may also be scrapped after SpaceX’s Florida team could not overcome a technical hurdle. Per the source, many of those single-weld steel rings were slightly different diameters, making it next to impossible to build a sound pressure vessel (i.e. Starship Mk4) with them.”


Teslarati.com — December 2nd, 2019

In line with that, SpaceX loaded transport ship GO Discovery with two large steel mounts and a finished tank dome originally believed to be intended for Starship Mk4 and Florida Starship production in general. Those parts arrived in Texas around five days later on December 8th and were rapidly moved from Port of Brownsville to SpaceX’s Boca Chica production facilities.

The ring-like steel structures will likely take the place of (or complement) the concrete structures SpaceX used to mount and assembly Starship Mk1. Likely significantly lighter, steel ring mounts allow far easier access underneath for technicians and engineers while also being much easier to transport in the event that SpaceX wants to reorganize its Starship ‘factory’.

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While they may look rather insignificant on GO Discovery, those steel assembly rings are absolutely colossal. (NASASpaceflight – bocachicagal)
Starship Mk1 is pictured here on October 21st. SpaceX already built a similar steel assembly ring in situ, while the rings from Florida will allow for more work to be done in parallel. (NASASpaceflight – bocachicagal)

Since arriving at the Boca Chica build site, SpaceX stored the assembly rings off to the side while the Starship Mk3 tank dome (i.e. bulkhead) was situated more centrally. So much is going on at SpaceX’s Boca Chica facilities that it’s no longer easy to determine what is being worked on just from observing, but it’s clear that the employees are working around the clock to prepare for Starship Mk3 assembly.

SpaceX continues to experiment with different methods of welding and assembly. On the right is a Florida-built Mk3 dome, while new hardware – visibly using more base panels – has just entered the early stages of welding. (NASASpaceflight – bocachicagal)

One or two new tank domes in various states of production are visible, contractors are constructing a warehouse-sized sprung structure (i.e. tent), and technicians are working to refine improved methods of forming the cylindrical steel rings that make up most of Starship. It can’t yet be said that Starship Mk3 has truly begun to take shape, but it’s clear that the goal is to ensure that the process is dramatically faster than it was with Starship Mk1, which took at least half a year to go from first ring stacking to pressure testing.

It’s safe to say that 2020 is going to be an incredibly busy and productive time for SpaceX’s next-generation rocket.

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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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SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff

Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.

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Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.

The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.

Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.

Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.

The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.

Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.

Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.

The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”

Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”

Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”

Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.

Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.

The firm also upgraded shares to a Buy from Hold and set a $160 price target.

SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.

Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.

There are plenty of ways the company can do this:

Leasing excess compute capacity through contracts

SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.

SpaceX is charging Anthropic massive money for its compute

High utilization driven by industry-wide scarcity

The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.

Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.

Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.

High incremental margins on the rental business once capacity is online

GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.

Parallel monetization of its own AI software and applications

Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.

These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.

Efficient, large-scale deployment and vertical integration advantages

SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.

Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.

SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.

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