Space Data Centers Take a First Step Into Orbit
Google has moved one step closer to building space data centers, launching a prototype orbital compute satellite aboard a SpaceX rocket from California. The satellite, built by Planet Labs, carries a Google Tensor Processing Unit — the company’s competitor to Nvidia’s GPUs — and marks the first time Google has sent one of its advanced chips into space.
The mission falls under Project Suncatcher, Google’s long-term plan to develop large-scale compute clusters in orbit around Earth. If the prototype performs as hoped, space data centers could one day process AI workloads far above the planet’s surface.
What the Prototype Satellite Will Test
Once commissioned, the satellite will fire up its TPU in 15-minute bursts. That schedule avoids straining the satellite’s power and thermal management systems, which must supply a kilowatt of continuous power and keep the chip cool.
The real test is whether the TPU can run a series of models without errors in the harsh space environment.
“We’ve done testing on the ground, but you know, there’s no test that’s completely as good as the real thing,” said Travis Beals, the Google executive managing Project Suncatcher.
The current satellite uses a standard platform built by Planet Labs. Google and Planet Labs are already working on a demo expected to fly next year, featuring two satellites purpose-built for advanced compute that can run more substantial workloads. Those future versions will attempt to collaborate via a laser communications link.
Google’s Vision: A Network of 81 Satellites
Google envisions an orbital data center made up of a network of 81 satellites flying in close formation and processing in parallel. The focus is on building for the space infrastructure and AI workloads that will exist in the future — not just what exists today.
“The bandwidth and the latency between TPUs really, really matters when you’re trying to run a multi-rack workload…we’re trying to look ahead to not just what workloads exist today, but where they will be in five years,” Beals said.
That future focus exists largely because the rockets required to scale up orbital data centers cost-effectively don’t yet exist.
Suncatcher isn’t the only space AI payload on this SpaceX rocket, which is launching more than 100 different payloads, including missions from Satlyt and Cowboy Space Company. What sets Google’s initiative apart from those startups — and from SpaceX itself — is that it’s a long-term project.
The 1,800-Launch Question for Space Data Centers
On Thursday, Google released a peer-reviewed version of its white paper on orbital data centers, one of the most rigorous analyses available of how compute gets to orbit. The paper will be published in Joule.
One of the paper’s most notable aspects is how Google thinks about access to space. Although the researchers stress their analysis isn’t an economic feasibility study, it offers an interesting picture of how the company sees rockets becoming cheaper over time.
Google’s Launch Price Assumptions
Like all data center companies, Google is looking to SpaceX to get its spacecraft off the ground. Google is also a major investor in SpaceX.
Arguing that Elon Musk’s rocket builders have achieved a price-reducing “learning curve” of about 20% a year since they launched the Falcon 1 rocket, the authors believe it’s reasonable to expect the company to deliver launch prices close to $200 per kilogram by 2035.
What will it take to get there? Based on the amount of payload launched by the Falcon 9, Google thinks a similar cost-reduction trajectory will require Starship to fly 370,000 tons of payload into orbit. That would take roughly 1,800 launches over the next 10 years — or 180 a year — assuming it can fly 200 metric tons on each mission.
Why That Number Is a Big Ask
That’s a big ask for a vehicle that has never flown more than five times in a year. SpaceX predicts it will be flying far more than that. Elon Musk has suggested Starship could achieve an hourly flight rate in 2029, for example, but Musk says a lot of things.
The gap between Google’s assumed flight rate and Starship’s actual performance to date is the central tension in the paper’s launch analysis. Space data centers at scale depend on cheap, frequent access to orbit — and that access depends on Starship delivering on its promised cadence.
Can Google’s TPUs Survive Space Radiation?
The good news, at least in Google’s updated research, is that its chips will likely survive the radiation of space. Google had to redo tests blasting the chips in a particle accelerator after realizing the configuration of the chips provided more shielding than they would actually experience.
This produced slightly more errors in the chip’s logic circuitry, but the company is still confident its chips can handle large inference workloads in orbit for the five-year lifespan of a satellite.
“The error rate is very low if you’re thinking about typical inference operations, right? Like one in a million,” Beals said. “On the other hand, it was already problematic for doing, say, some mega-scale training run where you’re going to have many thousands of chips running for months.”
What This Means for AI Workloads in Orbit
The distinction matters for how Google positions space data centers. Inference — running an already-trained model — appears viable. Mega-scale training runs involving thousands of chips over months remain problematic under current radiation conditions.
That finding shapes the near-term role of orbital compute: handling inference workloads that benefit from being close to satellites and other space-based systems, rather than replacing terrestrial training clusters.
The Road Ahead for Orbital Data Centers
Google’s prototype launch is a proof of concept, not a product. The next milestone is the two-satellite demo expected next year, which will test whether purpose-built compute satellites can work together over laser links.
From there, the path to an 81-satellite formation — let alone the launch cadence Google’s own paper assumes — runs through SpaceX’s ability to fly Starship at rates it has never approached.
For now, Google’s message is clear: the chips look like they can handle orbit, the economics depend on rockets getting much cheaper, and the whole project is a bet on infrastructure that doesn’t exist yet.
