Spacebus exists because we believe the next phase of AI infrastructure won't be won by whoever builds the largest campus — it will be won by whoever can deploy dependable, sovereign-grade capacity closest to where AI is actually used.
To make production AI inference dependable, local, and sustainable — by building a network of self-contained, sovereign-grade compute sites that can be deployed anywhere power and demand meet.
We build capacity against signed customer commitments — not in anticipation of demand that may or may not arrive.
One engineered design, deployed consistently, is how a distributed network scales without every site becoming its own multi-year construction project.
Owned power, closed-loop cooling, and redundant architecture aren't add-ons — they're the reason the model works at all.
A site designed around today's GPU generation is a stranded asset tomorrow unless it's built to absorb what comes next.
We're growing fast. If you want to help build a distributed compute network from the ground up, we'd like to talk.
Principal-level role owning site design, power and cooling systems, and cluster commissioning across the network.
Own the full sales cycle for multi-year take-or-pay contracts with enterprise and frontier-lab customers.
Interested in either role, or think you'd be a fit elsewhere on the team? Get in touch.