Google has announced a bold research initiative, called Project Suncatcher, that aims to move artificial-intelligence (AI) infrastructure beyond Earth’s surface.
Rather than build ever-larger terrestrial data-centres, Google plans to launch constellations of satellites equipped with its custom Tensor Processing Units (TPUs), harnessing near-constant solar energy to power machine-learning workloads.
According to Google’s research blog post, solar panels in the right orbit can generate up to eight times more power than those on Earth, thanks to continuous sunlight and minimal atmospheric interference. The company describes Project Suncatcher as a “moonshot” exploring how solar-powered, free-space optical link-equipped satellites could serve as scalable AI data-centres.
The proposed architecture includes:
A joint prototype launch with Planet Labs by early 2027 to validate on-orbit performance of power collection, connectivity and compute.
As demand for AI compute skyrockets, terrestrial data-centres face challenges in energy consumption, cooling requirements, land usage and environmental impact. Google’s internal analysis suggests that once launch costs fall to ~$200/kg, orbiting data-centres could become cost-competitive with Earth-based facilities by the mid-2030s.
The initiative also taps into broader momentum: industry leaders such as Jeff Bezos have predicted gigawatt-scale data-centres in space within the next decade, citing near-unlimited solar energy and minimal terrestrial constraints.
Despite the ambition, Project Suncatcher faces major technical and operational hurdles: