Google is advancing its orbital computing initiative, Project Suncatcher, with plans to deploy prototype satellite hardware to test AI workload processing directly in low Earth orbit.
The moonshot research project aims to address the massive energy and cooling demands of terrestrial AI infrastructure by shifting machine learning compute workloads off-planet.
By placing constellations of tightly networked, solar-powered satellites into sun-synchronous orbits (~650 km above Earth), Google seeks to leverage continuous, near-24/7 solar radiation—generating up to eight times the energy of ground-based panels without nighttime or weather disruptions.
The first prototype satellite for Project Suncatcher, Google’s research moonshot exploring whether space could host scalable machine learning infrastructure, is scheduled to launch aboard SpaceX’s Transporter-18 rideshare mission carrying the company’s Tensor Processing Units (TPUs), according to a September 24, 2026 post on The Keyword.
Developed in partnership with satellite operator Planet, the initial mission is designed to gather in-orbit data on how the TPUs handle the physical stress of spaceflight and the radiation and thermal extremes of space. Google said it will put its first TPUs in orbit in the week following publication.
The update was written by Travis Beals, Senior Director of Paradigms of Intelligence at Google, and accompanies a new video series in which the Project Suncatcher team discusses what it hopes to learn and the engineering hurdles ahead.
Beals described this first launch as a deliberate step in a longer program: a way to see what works, identify points of failure, and apply the findings to future missions.
A rocket trip into low Earth orbit lasts about 10 minutes, during which the spacecraft experiences intense vibration and sustained acceleration loads of up to 10 times the force of gravity. Individual components, such as the TPU chips, can experience forces of 50 to 100 g. To prepare, the team conducted vibration testing by intensely shaking the satellite on all three axes to mimic the frequencies of a rocket launch. Beals wrote that tests like this rarely go as planned and that the team was pleasantly surprised when the hardware held up to the force.
Radiation presents a separate challenge once the chips leave Earth’s atmosphere, where solar events and cosmic rays can damage electronics.
The team tested TPUs in a proton beam facility at UC Davis’s Crocker Nuclear Laboratory while running AI workloads, monitoring how errors such as a bit flip would affect those workloads.
Google reports that initial results show its Trillium TPUs can survive a radiation total ionizing dose greater than what they would receive during a five-year space mission.
Cooling in a Vacuum
The post describes cooling orbital data centers as a crucial research challenge. TPUs generate a large amount of heat in a small area, and that heat must be diffused safely or the chips risk overheating.
In space there is no airflow, and in a vacuum heat can only be diffused via radiators, requiring a wholly different approach to cooling electronics.
Beals wrote that the team is pursuing several approaches, including a combination of heat pipes and radiators, and has so far tested the technology in a thermal vacuum chamber that simulates both the thermal and vacuum environment of space.
The orbital flight will show how the new TPU cooling system performs, with designs refined as the team learns more.
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