Data centers in space looking pretty appealing right now. Ground AI is hitting… · @Eyescool · TwKit

@Eyescool

Data centers in space looking pretty appealing right now. Ground AI is hitting a hard wall. Not chips. Power + cooling + permits. Every new terrestrial data center needs: - Massive grid connection - Water for cooling - Land - Political approval Local opposition + regulation is rising. Post-election reality is simple: governments and communities are increasingly saying “not in my backyard” to energy-hungry AI campuses. Result? Chips keep coming. Electricity and permits do not. Space flips the constraints. - Solar is continuous and free (no night, no weather, no grid). - Cooling is radiative to 3 K background — no water, no chillers. - No land fights, no local permitting, no NIMBY. - Latency for many workloads is solvable with laser inter-satellite links. The only remaining bottleneck is launch cost and cadence. Starship + reusable high-frequency launch is the unlock. Once cost-to-orbit drops far enough, orbital compute becomes the cheaper, faster path to scale. Elon’s timeline is clear: Orbital compute deployed per month likely exceeds terrestrial by end of 2028, then far exceeds it in 2029. First principles: Whoever can turn on the most chips fastest wins. On Earth that is increasingly constrained. In orbit it is limited only by how many tons you can throw up. SpaceX already does ~50% of global orbital launches. It is building the vehicles and the satellites. Terrestrial compute will be peanuts compared to orbital compute. The math is no longer theoretical. It is becoming the rational path. $SPCX @elonmusk

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