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SpaceX’s first Starlink V2 satellites spotted at Starbase
On Monday, SpaceX was spotted loading some of the first Starlink V2 satellite prototypes into a custom mechanism designed to refill Starship’s magazine-like payload bay.
While it’s not the first time SpaceX has used the dispenser, the photos captured by photographer Kevin Randolph for the YouTube channel ‘What about it!?’ are the first to clearly show real prototypes of the next generation of Starlink satellites. According to CEO Elon Musk, those Starlink Gen2 or V2 satellites will be “at least 5 times better”, “an order of magnitude more capable,” and about four times heavier than current (V1.5) Starlink satellites.
The potential of the new satellite bus design paired with Starship’s massive fairing and lift capacity could dramatically improve the viability and cost-effectiveness of SpaceX’s Starlink constellation. First, though, the company needs to launch and qualify prototypes of the new satellite design and verify that all associated ground support equipment works as expected.
Due to the designs SpaceX has settled on for both Starlink V2.0 satellites and the Starship hardware that will deploy them in orbit, that ground support equipment and the general path each satellite will take from its arrival at the launch facilities to liftoff on a Starship are wildly different than anything done before. July 18th’s photos (and screenshots from a recent factory tour) confirm that the next-gen satellites are basically enlarged versions of their smaller predecessors, which are also narrow rectangles.
The new spacecraft have a very similar aspect ratio but are around seven meters long and three meters wide (23′ x 10′) instead of approximately 3m x 1.5m (10′ x 5′). They also appear to be about twice as thick and reportedly weigh ~1,250 kilograms to V1.5’s estimated 310 kilograms (~2,750 lb vs ~680 lb). As a result, the V2.0 bus will have about 7-10 times more usable volume than V1.0 and V1.5. It should be no surprise, then, that each next-gen satellite could offer almost magnitude more usable bandwidth.
Assuming that Starship launch costs are roughly the same as Falcon 9 and that Starship can only launch a similar 50-60 satellites at once, an almost 10x performance improvement from a satellite that only weighs five times as much relative to V1.5 would make Starlink V2.0 constellation deployment at least twice as cost-efficient to deploy even if Starship could only launch the same mass (~16 tons) as Falcon 9. In fact, a recent SpaceX render suggests that Starship will be able to carry 54 Starlink V2.0 satellites initially. As a result, even if Starship costs five times more to launch than Falcon 9 (~$75M), it will still be cheaper per unit of bandwidth launched. If Starship eventually reaches marginal launch costs as low as Falcon 9 (~$15M), the cost of Starlink launches (not including satellite cost) could plummet from about $15,000 per gigabit per second (Gbps) to around $1,500-2,500 per Gbps depending on individual satellite bandwidth.
The total cost of the network will be higher, of course, and dependent on more variables, but the combination of Starship and V2.0 satellites could eventually reduce the relative cost of Starlink launch operations by a factor of 5-10. If Starlink V2.0 satellites are actually cheaper to manufacture per unit of throughput than V1.5 satellites, which is not implausible once mass-production begins, those savings will deepen. If Starship can quickly mature and becomes fully and efficiently reusable, the equation could become even more favorable.
Still, loading Starship with satellites is going to be no minor feat and will add a significant amount of complexity and risk relative to the methods SpaceX currently uses for Falcon 9 Starlink launches. SpaceX’s initial Starship payload bay design is a roughly square enclosure that slots just above the ship’s uppermost tank dome and below its inward-curving nosecone. Per a render of the mechanism released last month, it measures about nine meters (30 ft) tall and eight meters (26 ft) wide, can store up to 54 Starlink V2.0 satellites, and dispenses pairs of satellites through a relatively tiny payload bay door that’s only wide enough for the task at hand.
Starship’s airframe is almost exclusively welded together. Once the nosecone and payload bay are installed on top of a ship, the only way to access the interior of the bay is through the dispenser door or an even smaller human-sized access port. SpaceX’s solution: build a mobile satellite storage box that will be lifted by crane (or launch tower arms) dozens to hundreds of feet off the ground and use the payload bay’s own dispenser mechanism in reverse to load satellites like bullets into a giant magazine. If that sounds simple, which it shouldn’t, it’s not.
It’s great, then, to see SpaceX apparently practicing that process with some of the first Starlink V2.0 prototypes. In photos captured on July 18th, workers were spotted loading several satellites into the only existing ‘loader’ inside one of Starbase’s three main factory tents. Each satellite was lifted using a load-spreader device that was presumably required to prevent the extremely long and thin satellites from bending too much in the middle during the lift. It’s unclear whether SpaceX is solely practicing the process or if it’s actually installing satellites well in advance for loading onto a Starship prototype.
Starship S24 is in the middle of preflight testing and has already been greeted by the satellite loader once before, possibly to load a prototype or mockup before ground testing began. Starship S25 appears to be at least a month or two away from completion, though its nose and payload bay section are much closer.
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
