
The relentless expansion of generative artificial intelligence has finally collided with the hard physical limits of the terrestrial power grid, forcing hyperscalers to look toward the vacuum of space for a sustainable future. As of late, the massive computational clusters required to train and run next-generation large language models have become so energy-intensive that they are effectively outgrowing the cities










