r/space • u/astraveoOfficial • 3h ago
Astrophysicist calculates whether AI data centers in space makes sense
Elon Musk says "cooling is actually much easier in space than it is on earth," and a big part of SpaceX's roughly $2 trillion IPO pitch rests on putting AI data centers in orbit. So I went to the blackboard to check whether this holds up. In this video I work through the physics of orbital data centers using nothing more than high school physics: how much solar power you can actually collect in space, where all the heat from the GPUs goes, and why the vacuum of space is a lot more like a thermos than a refrigerator.
We start with the case for space data centers (constant sunlight, no water use, no waiting on the power grid) and some practical problems that don't usually make it into the pitch, like the fact that you can't swap out a failed GPU in orbit. Then we figure out how much solar panel area it takes to run a single AI server rack, a gigawatt data center, and the terawatt of AI compute Musk has talked about launching. After that we get into cooling: why space being "cold" doesn't mean space is good at cooling things, how radiation compares to still air, fans, and water cooling, how big a radiator one rack needs using the Stefan-Boltzmann law, and how that stacks up against the radiators on the International Space Station.
The short version: the physics doesn't make orbital data centers impossible, but it makes them a lot harder and more expensive than the pitch suggests. As a result, I'm very skeptical that this will be possible on the timescale being advertised (claims like space will be cheaper for AI in the next 2-3 years, 1 TW per year launched, etc.).