Startup proposes 100,000 satellite data center constellation as Musk predicts space will host cheapest AI

The Orbital Data Center Hype Machine Is Already in Orbit

Why the stars -- and the math -- won't align for space compute anytime soon "The lowest-cost place to put AI will be in space, and that will be true within two years, maybe three at the latest," SpaceX founder Elon Musk told the World Economic Forum in Davos this past January, as his company was preparing to go public. Later that month, SpaceX filed an application with the Federal Communications Commission for an orbital data center constellation of up to 1 million satellites in low Earth orbit, 500 to 2,000 kilometers above Earth. And just three days before the IPO, he discussed some initial design specifications for a new AI-1 satellite data center in a video interview. Musk is prone to hyperbole when it comes to timelines. Full self-driving cars by 2017. First human mission to Mars in 2024. Ten thousand Optimus humanoid robots by the end of 2025. Et cetera. For orbital data centers, which he says will be a cost-effective alternative to terrestrial data centers within three years, the math won't make sense for several years, if ever. Consider this: There are roughly 14,500 active satellites in orbit. Musk's Starlink constellation accounts for about two thirds of those. Both the launch cadences and satellite-manufacturing capacity would have to scale up astronomically to deploy a million orbital data center satellites. For context, there have been roughly 7,000 orbital launches in all of human history. To loft 1 million satellites into low Earth orbit on SpaceX's Starship, which is designed to carry up to 60 satellites per vehicle, would require 16,666 launches exclusively devoted to satellite deployments. Considering that SpaceX launched a record 165 orbital missions in 2025, even at 10 times that cadence, it would take a decade. And how long would it take to build 1 million satellites, given Starlink's current pace of around 4,000 per year and a generous tenfold increase in capacity? Short of a manufacturing revolution, try 25 years. The reality is that the vision of massive constellations of orbital data centers is nowhere close to being realized. As this month's cover story, "Why Orbital Data Centers Are So Hard" by Andrew Cavalier of ABI Research, makes clear, the reality is that the vision of massive constellations of orbital data centers is nowhere close to being realized. Dina Genkina, IEEE Spectrum's computing and hardware editor, put the idea into perspective: "Starcloud (a startup that has applied to the FCC for an 88,000 orbital data center satellite constellation) sent one Nvidia H100 GPU in space so far. Their radiator was too weak to let the chip run at full power." As Cavalier shows, cooling even a single Nvidia H100 GPU in space is difficult: It draws 700 watts, which will require 1.4 square meters of radiator at 60 °C. A 40-kilowatt rack of servers will need an 80-m² radiator; a 100-megawatt data center will require 2,500 of those radiators. Some astronomers are understandably concerned that a million satellites with giant radiative wings would blot out the stars. So if the economics doesn't make sense, if the chips are at the mercy of the radiative ravages of space, and if humanity will lose its view of the stars, not to mention increasing the risk of triggering the Kessler syndrome, why are the hyperscalers hyping orbital data centers? Genkina offered the obvious answer: sweet, sweet moolah. "The Elon Musk part of it is honestly genius because he's got xAI building the data centers, SpaceX sending them to space, and Tesla building solar panels," Genkina says. "It's almost like he's paying himself."

US startup proposes 100,000-satellite data center constellation

The next major battleground for the survival of artificial intelligence is being fought roughly 300 miles above our heads. And now, to challenge the tech giants, a newly launched, five-month-old startup has set a big, ambitious goal. Los Angeles-based startup Orbital Compute, Inc. recently laid its cards on the table. It has filed an audacious plan with the Federal Communications Commission (FCC) to launch up to 100,000 AI-focused data-center satellites into low Earth orbit. At full scale, the constellation promises to deliver 10 gigawatts of pure computing power. In comparison, the figure matches the total new electricity capacity added to the entire United States power grid last year. In the recent years, various companies have been moving server infrastructure entirely into space. The key reasons are to combat severe strain on the power grid, community backlash, and water shortages caused by resource-intensive AI data centers. With the orbiting data centers, tech companies can overcome Earth's land and electricity constraints altogether, using continuous solar energy and the cold void of space for natural cooling. The company's founder, Euwyn Poon, is an unconventional choice to lead a space race. He previously founded Spin, the dockless electric scooter company that he successfully scaled and sold to Ford. Poon transitioned to space after buying an Nvidia GPU to rent out on Earth, where he hit a wall. Reportedly, he quickly realized that the ultimate challenge for artificial intelligence is electricity. And space holds the potential to solve the power overnight. Each planned Orbital satellite will act as a flying, high-density server rack powered by a massive 100-kilowatt solar array. The fleet would be positioned in sun-synchronous orbits to bask in perpetual, uninterrupted sunlight. Furthermore, cooling becomes an entirely different game. Down here, server farms require millions of gallons of water to keep from melting. In orbit, the hardware will radiate its blistering heat directly into the freezing void of space. "The demand for AI compute is outrunning what we can reasonably build on the ground -- we're short on power, land, and water all at once. Space solves all three. Sunlight is constant, cooling is free, and there's no neighborhood to disrupt. We think the next generation of data centers won't be built in the desert -- they'll be built in orbit," Poon noted. Of course, the plan sounds insane to critics. The vacuum of space lacks air, so heat must be dissipated solely by radiation -- a slow thermodynamic process. Space radiation can also fry sensitive chips, and launching thousands of two-ton objects threatens to choke our orbit with space junk. OpenAI CEO Sam Altman even dismissed the concept of orbital data centers as "ridiculous" earlier this year. Yet, serious capital is moving. Orbital recently closed a $5 million pre-seed round to advance the development. Meanwhile, heavyweights like SpaceX and Blue Origin are quietly sketching out their own orbital compute strategies, anticipating that next-generation heavy-lift rockets like Starship will make mass satellite deployment incredibly cheap. Orbital isn't waiting around. The startup plans to launch a tiny, single-GPU demonstration payload on a SpaceX Falcon 9 rocket next year to test how Nvidia chips hold up against space radiation. If successful, their first full-scale satellite, Orbital-1, will head up in 2028.