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SpaceX to mature Starship Moon landing and orbital refueling tech with NASA’s help
NASA has announced 19 technology partnerships between the agency’s many spaceflight centers and 13 companies, including SpaceX, Blue Origin, and more. This round of Space Act Agreements (SAAs) shows a heavy focus on technologies and concepts that could benefit exploration of the Moon and deep space more generally, including lunar landers, food production, reusable rockets, and more.
Put simply, all 19 awards are great and will hopefully result in tangible products and benefits, but SpaceX has a track record of achievement on the cutting edge of aerospace that simply has not been touched over the last decade. As such, the company’s two SAAs are some of the most interesting and telling, both ultimately focused on enabling Starship launches to and landings on the Moon and any number of other destinations in the solar system. Perhaps most importantly, it signals a small but growing sect within NASA that is willing and eager to acknowledge Starship’s existence and actively work with SpaceX to both bring it to life and further spaceflight technology in general.
One agreement focuses specifically on “vertically land[ing] large rockets on the Moon”, while the other more generally seeks to “advance technology needed to transfer propellant in orbit”, a feature that Starship’s utility would be crippled without. In this particular round of SAAs, they will be “non-reimbursable” – bureaucratic-speak for a collaboration where both sides pay their own way and no money is exchanged. SpaceX’s wins ultimately show that, although NASA proper all but refuses to acknowledge Starship, the many internal centers it is nothing without are increasingly happy to extend olive branches towards the company and its ambitious next-generation rocket.
“SpaceX of Hawthorne, California, will work with NASA’s Kennedy Space Center in Florida to advance their technology to vertically land large rockets on the Moon. This includes advancing models to assess engine plume interaction with lunar regolith.”
“SpaceX will work with Glenn and Marshall to advance technology needed to transfer propellant in orbit, an important step in the development of the company’s Starship space vehicle.”
NASA, July 30th, 2019
Giant rockets on the Moon
SpaceX’s first SAA centers around studying the task of landing Starship – a “large rocket” – on the Moon and attempting to understand just how the Moon’s powdery regolith (i.e. inorganic topsoil) will respond when subjected to the plume of a Raptor engine. Put simply, the task of landing a spacecraft as massive as Starship has never been attempted on the Moon, and the process itself – irrespective of any potential surprises from plume-regolith interaction – poses some obvious challenges.
In the most basic sense, Starship is massive. According to the vehicle’s circa. 2018 dimensions, it will stretch 55m (180 ft) from nose to tail, be 9m (30 ft) in diameter, and weigh (per 2017 specs) ~85 tons (190,000 lb) empty and upwards of ~1350 tons (2.95 million lbs) fully fueled. For reference, that is almost 80% as tall and more than 2.5 times as heavy as an entire Falcon 9 rocket. In the history of lunar exploration, Apollo’s Lunar Module (LM) – including landing and ascent stages – is the heaviest vehicle to have ever landed on the Moon, weighing a maximum of 5500 kg (12,100 lb) at landing (Apollo 17).
As such, an expendable Starship landing on the Moon with zero propellant for a possible return to Earth would easily break the record for landed mass by a factor of 10-20, while a Starship landing with enough delta V to simply return to lunar orbit – let alone land back on Earth – could easily up that to 30-50x.
Aside from the mass of Starship, there is also the question of how to gently land the spacecraft in the first place. Lunar gravity is roughly 1/6th of Earth’s, meaning that, say, 200 tons (i.e. Raptor’s thrust) would equate to more than 1200 tons of effective thrust on the Moon, a more than 10:1 thrust-to-weight ratio. For reference, the Apollo Lunar Module descent stage was powered by an engine with ~10,000 lbf (4.5 tons) of thrust that could throttle as low as ~1000 lbf (0.45 tons), meaning that even in lunar gravity conditions, the LM could have a thrust-to-weight ratio less than 1. For the purpose of safely landing on the Moon and ensuring a gentle landing, that is an extremely desirable thing to have.
Much like Falcon 9’s upper stage features cold-gas nitrogen thrusters to settle its propellant before MVac ignition, Starship will likely need a similar system, and it’s possible that that system could be used to gently land Starship and tweak its velocity in the final stages of a Moon landing. This study will likely be used in part to figure out what exactly the optimal method of landing Starship is.
How to Refuel Your Starship
Finally, SpaceX’s second NASA SAA focuses on developing the immature technology of in-orbit propellant transfer, an absolute necessity for Starship to simultaneously be fully reusable and capable of landing significant payloads on other planets (or moons). Ever since SpaceX CEO Elon Musk first revealed the company’s Mars-bound launch vehicle in 2016, it has incorporated in-orbit refueling as a foundational feature.
Due to the additions required for full reusability, Starship will essentially need to be launched into Earth orbit and then quickly refueled anywhere from 1 to 10+ times depending on the ultimate destination and the mass of the cargo being delivered. This is not to say that Starship will be useless without refueling – according to SpaceX VP of Sales Jonathan Hofeller, Starship will be capable of launching more than 100 tons (220,000 lb) to low Earth orbit and 20 tons (44,000 lb) to geostationary transfer orbit (GTO), more than enough to satisfy every commercial demand currently in existence.
However, with one or several refueling missions, Starship should be able to turn 100 tons to LEO into 100 tons to the surface of Mars or dozens of tons to the surface of the Moon. Put simply, with reliable and fast refueling, Starship goes from being a major step forward in reusable spaceflight to the key to the solar system and to radically affordable deep spaceflight.
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Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
