For the better part of the last few years, the advancement of AI and automation has been dependent on increasingly dense terrestrial infrastructure.
Massive data centers, alongside expanding edge computing systems, have enabled major breakthroughs across sectors such as manufacturing and autonomous vehicles. Nonetheless, as AI continues to evolve, it is becoming increasingly difficult to ignore the limitations of Earth-based infrastructure.
Energy consumption, heat management, land use, and environmental constraints have all become central concerns for organizations building large-scale AI models. These pressures are now driving a broader reassessment of where future computational power is best deployed. [Read more…] about The use of space-based computing signals a paradigm shift in AI infrastructure thinking









