Spacebus designs, builds, and operates self-contained GPU clusters sited close to end users and enterprise demand. Each site is a complete, independent AI factory: owned power, closed-loop cooling, and production-grade GPUs, deployable in 90 days.
The largest AI campuses are optimized for one thing: raw training throughput at maximum scale. But the fastest-growing category of AI workload — production inference — needs low latency to end users, resilience against grid and water constraints, and hardware that keeps pace with a platform refresh cycle measured in quarters, not decades.
Gigawatt campuses compete with cities and industry for scarce interconnection capacity, often waiting years for power.
Conventional cooling at scale draws heavily on local water systems, increasingly a constraint on new builds.
Facilities designed around one GPU generation struggle to absorb the next — locking in stranded capacity.
Centralized mega-campuses add latency for inference traffic that needs to live close to the user.
Read the full case for distributed inference infrastructure →
Every Spacebus site runs the same self-contained design — engineered once, replicated everywhere — so capacity comes online in months, not years.
Current-generation NVIDIA infrastructure, with a defined upgrade path to next-generation platforms in the same footprint.
Closed-loop thermal management with no ongoing water draw — deployable anywhere, independent of local water stress.
Fully redundant power architecture backed by owned onsite solar generation at every site.
A modular build process that takes a site from site control to live GPUs in 90 days.
Spacebus capacity is contracted, not spot-rented — multi-year commitments with credit-grade enterprise and frontier-lab customers who need dependable, low-latency inference capacity they can plan around.
Production workloads that need to run close to users, with predictable capacity and long-term commitments.
Dedicated regional capacity to extend footprint without waiting on hyperscaler queues.
Whether you're an enterprise looking for dedicated regional inference capacity, a landowner or utility with power to offer, or a partner interested in the platform — we'd like to hear from you.
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