Name the Workload
A satellite-shaped pitch arrives at the desk of an industry that already has more compute than it knows what to do with. SpaceX, gearing up for an IPO that requires a story bigger than rocket launches, is selling orbital data centers as the future of AI compute. Google is reportedly listening. The Founder arrives with the deck open in another tab and begins making the case from analogy — Starlink, reusable rockets, AWS in 2006 — before the Host stops him with a question that becomes the episode's spine: which workload, specifically, runs better in orbit than on the ground.
The Founder names training. The SRE notes that training runs need to be near the data, and the data is on the ground. The Founder names batch inference. The DBA asks what data, stored where, served to whom. Nobody answers. Across the runtime the panel surfaces the actual constraints — radiative cooling in vacuum being harder than the pitch claims, latency floors that physics enforces, single-event upsets from cosmic rays, the impossibility of swapping a failed disk in low Earth orbit, the launch-schedule economics that replace traditional capital expenditure. The Founder eventually names a real constraint: terrestrial data centers are running into power, water, land, and permitting walls that orbit doesn't have. The SRE acknowledges this as the first real answer and explains why the solution isn't orbit but grid capacity. The DBA confirms what the episode has been demonstrating: the orbital pitch is what you do if you've decided in advance that orbit is the answer and you're working backward from there.
The episode lands on the question of how a decision like this gets made in the first place — somebody walked into a room with a slide that said "orbital compute" and the room said yes, without anyone in the room asking what workload it was for. The DBA's closing structural verdict ties the episode together: the architectures that worked, somebody could always name the workload in the first meeting. Nobody in this article has named the workload. Everything downstream of that — the launch costs, the cooling problem, the radiation, the maintenance impossibility — is consequence.
Source article
Report: Google and SpaceX in talks to put data centers into orbit [https://techcrunch.com/2026/05/12/report-google-and-spacex-in-talks-to-put-data-centers-into-orbit/] — Rebecca Bellan, TechCrunch · May 12, 2026
Panel
* The Startup Founder
* The Burnt-Out SRE
* The Database Administrator
* The Goat Farmer's Counsel