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SpaceX’s first 33-engine Super Heavy booster reaches full height
Approximately 11 weeks after the process began, SpaceX has finished stacking its newest Super Heavy booster prototype – the first of its kind intended to host 33 new Raptor V2 engines.
Designed to launch Starship’s massive, namesake upper stage part of the way to orbit, Super Heavy is in many ways simpler than Starship but just as complex and unprecedented in others. Ignoring SpaceX’s unusual plans to have boosters land on huge mechanical arms installed on a skyscraper-sized tower, Super Heavy is ‘merely’ a large vertical-launch, vertical-landing liquid rocket booster – the likes of which SpaceX already has extensive experience with through Falcon 9 and Falcon Heavy. What mainly sets Super Heavy apart is its sheer scale.
Measuring around 69 meters (~225 ft) from tip to tail, Super Heavy – just one of two Starship stages – is almost as tall as an entire two-stage Falcon 9 or Falcon Heavy rocket. At nine meters (~30 ft) wide, a single Super Heavy booster – effectively a giant steel tube – should be able to store at least six or seven times as much propellant as Falcon 9 and about two to three times as much as Falcon Heavy. Engine count and peak thrust are similarly staggering.
SpaceX’s newest Super Heavy prototype – Booster 7 (B7) – expands those engine-related capabilities even further. Instead of the 29 Raptor V1 engines installed on Super Heavy B4, Booster 7 is designed to support up to 33 Raptor V2 engines. While the V2 design significantly simplifies Raptor’s design to make it easier to build, install, and operate, it also substantially boosts maximum thrust from around 185 tons (~410,000 lbf) to at least 230 tons (~510,000 lbf). In theory, if Super Heavy B7 is outfitted with a full 33 Raptor V2 engines capable of operating at that claimed thrust level, Booster 7 could theoretically produce at least 40% more thrust than Booster 4. B4, however, has yet to attempt a single static fire.
The fact that SpaceX hasn’t put Booster 4 through a single full wet dress rehearsal (a launch simulation just shy of ignition) or static fire test after more than half a year at the orbital launch site has led many to assume that the prototype is likely headed for premature retirement. With Booster 7 now perhaps just a week or two away from test-readiness, SpaceX finally has a viable replacement capable of both carrying the flame forward and kicking off the qualification of the first prototype designed to use Raptor V2 engines.
Booster 7 features a number of other design changes, including sleeker raceways (external conduits that protect wiring and smaller plumbing); a different layout of the pressure vessels, ‘hydraulic power units,’ and umbilical panel installed on its aft; and significant changes to the aerocovers that slot over that aft hardware. Beyond its Raptor engines, the two next most substantial modifications made to Super Heavy Booster 7 are arguably a pair of strake-like aerocovers and the addition of large internal ‘header’ tanks meant to store landing propellant.
A series of new sharp-edged aerocovers are now expected to slot over the top of two new pairs of five composited-overwrapped pressure vessels (COPVs) that run about a third of the way up Booster 7’s tanks. It’s possible that they will function a bit like strakes, fixed wing-like structures designed to improve aerodynamic stability. In comparison, Super Heavy B4 has four sets of two COPVs spaced evenly around the outside of its engine section.
Finally, SpaceX appears to have upgraded Super Heavy Booster 7 with a full set of internal header tanks, meaning that it should now be able to store all needed landing propellant in separate tanks. That significantly decreases the amount of pressurization gas required and makes it much easier to ensure that Super Heavy’s Raptor engines are fed with an uninterrupted flow of propellant during complex in-space and in-atmosphere maneuvers. Following SpaceX’s decision to turn Super Heavy’s tank vents into maneuvering thrusters, header tanks should also decrease the chances of liquid propellant being accidentally vented while the booster is in microgravity/free-fall conditions.
With any luck, Super Heavy B7 will be fully assembled and ready for proof testing. It’s very likely that it will take SpaceX several more months to mature Raptor V2’s design into something ready for flight and produce and qualify at least 33 of the engines but in the interim, Booster 7 can hopefully kick off cryogenic proof and wet dress rehearsal testing as early as late March or early April.
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
