Energy demand grows with AI.

in Popular STEM13 hours ago

Energy demand grows with AI.



AI


The solution: data centers in space.


There is a problem quietly growing behind the explosion of artificial intelligence, energy, training larger and larger models requires absurd amounts of electricity and terrestrial data centers are slowly beginning to reach physical, financial and even political limits.


Overloaded power grids, skyrocketing costs and entire communities reacting against huge facilities that consume energy non-stop and that must be why some companies began to look towards an unlikely place, space.


According to recent reports, Google and SpaceX would be discussing the development of orbital data centers for artificial intelligence and honestly the logic behind this is less absurd than it seems, here on Earth, any data center depends on limited electrical infrastructure, climate, physical space and constant cooling.


In orbit, the situation changes completely.


Satellites can access virtually uninterrupted solar energy, with no atmosphere, clouds or night cycle to interrupt power generation. In practice it would be like building enormous computing plants powered directly by the sun, running 24 hours a day on the earth's own infrastructure. And both Google and SpaceX seem to be preparing for it.


Google is already working on a project called Suncatcher, officially announced by Sandar Pichai at the end of 2025. The idea involves launching satellites equipped with TPUs, the processors already developed by Google itself, forming an orbital constellation capable of sharing massive processing loads through laser communication between the satellites.


The first prototypes should appear until 2027, meanwhile, SpaceX is pursuing an even more aggressive vision. The company has already requested approval to dramatically expand its orbital infrastructure with plans involving up to 1 million satellites dedicated to computing operations and artificial intelligence. Part of this strategy includes agreements with existing companies such as Entropic and the massive use of Envidia GPUs to power distributed processing systems in space.


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