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Meta, Google, SpaceX pursue space and nuclear power for AI data centers

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This digest was compiled by AI from multiple sources — links to the originals are below.

Meta, Google, SpaceX pursue space and nuclear power for AI data centers

Meta, Google, and SpaceX are pursuing space-based solar and nuclear power to meet the 24/7 energy demands of AI data centers. The plans include orbital mirrors, formation-flying data centers, and 1 million satellites. These moves come as data centers under construction are projected to emit as much CO2 as 24 million cars.

Key Facts

  • Meta has proposed placing giant mirrors in space to reflect sunlight for continuous power.
  • Google proposed a formation-flying fleet of AI data centers in orbit.
  • SpaceX filed for permission to put 1 million satellites into orbit.
  • Data centers under construction will output as much CO2 as 24 million cars.
  • Tech companies are signing agreements with nuclear power startups for 24/7 carbon-free energy.

Space-Based Solar Plans

Meta's plan involves placing giant mirrors into space to reflect sunlight at all times, addressing the need for round-the-clock power that ground-based solar cannot provide due to nighttime. Google proposed creating a formation-flying fleet of AI data centers in orbit to leverage constant solar power without Earth-bound emissions. SpaceX filed for permission to put 1 million such satellites into orbit, expanding the scope of space-based energy infrastructure. These space-based approaches aim to provide continuous solar power while avoiding emissions on Earth.

Nuclear Power Agreements

Many tech companies are signing agreements with nuclear power startups to secure 24/7 carbon-free electricity for data centers. Nuclear power sources can run continuously and produce no CO2, but their radioactive nature has limited new plant construction in recent decades. Startups are promising that new, much smaller reactors will be safe and more adaptable to changing energy needs.

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Meta, Google, SpaceX pursue space and nuclear power for AI data centers