Source: SiliconANGLE
Google is moving computational infrastructure beyond terrestrial constraints by deploying specialized satellites designed to run AI workloads in low-Earth orbit, a bet that latency-sensitive machine learning tasks can operate efficiently at 400+ miles altitude. This commits capital to solving the "where to put AI" problem—not through traditional data center scaling or edge computing, but through a hybrid orbital-terrestrial architecture. Suncatcher's performance will clarify whether LEO becomes a genuine alternative to land-based server farms or remains viable only for specific use cases like satellite imagery analysis.