Enterprise inference

Enterprises running production AI applications — customer-facing models, internal copilots, real-time recommendation and personalization systems — need inference capacity that's close to their users and predictable over multi-year horizons.

Spacebus sites are built to serve exactly that kind of demand: regional capacity, contracted in advance, with the redundancy and uptime a production application requires.

What enterprises get

  • Dedicated, contracted capacity — not shared, spot-priced cycles
  • Low-latency proximity to end users and regional operations
  • Multi-year tenor with a defined hardware upgrade path

Frontier labs

Frontier AI labs need to extend their footprint beyond hyperscaler capacity — additional regional inference capacity, delivered faster than a hyperscale build cycle, without a multi-year commitment to a single cloud provider's roadmap.

Spacebus's 90-day deployment model lets labs stand up dedicated capacity in new regions on a timeline that matches product velocity, not construction schedules.

What labs get

  • Fast regional capacity additions — 90 days from site control to live workloads
  • A roadmap that keeps pace with next-generation GPU platforms
  • Independent infrastructure, outside a single hyperscaler's queue

Sovereign capabilities

Governments, national champions, and enterprises operating under data-residency or export-control constraints need AI capacity they can point to a specific site, a specific power source, and a specific chain of custody — not a shared, borderless cloud region.

Because every Spacebus site is self-contained — its own power, its own cooling, its own physical footprint — the network is built to support sovereign deployments: capacity that can be sited, contracted, and operated within a single jurisdiction's legal and physical boundary, with no dependency on capacity elsewhere in the network.

What sovereign customers get

  • Jurisdiction-specific siting, with physical and operational control over the facility
  • Independent power and cooling — no shared dependency on out-of-region infrastructure
  • A compliance roadmap built toward federal-grade assurance levels
  • Contracted, dedicated capacity rather than a shared multi-tenant region

Public sector & regulated workloads

Government agencies and regulated enterprises increasingly need AI infrastructure that meets a defined compliance bar — and that can demonstrate data sovereignty and physical control over where workloads run.

Spacebus's compliance roadmap — SOC 2 Type I today, building toward FedRAMP High and DoD IL4/IL5 — is designed to meet that bar as the network matures.

What regulated customers get

  • Sovereign-grade, self-contained sites with clear physical and operational control
  • A defined compliance roadmap toward federal-grade assurance levels
  • Regional siting options to meet data residency requirements

How engagements work

Scope the workload

We work with your team to size compute, latency, and redundancy requirements against the workload you're running.

Contract capacity

Customers commit to a multi-year take-or-pay agreement for dedicated capacity at a specific site or region.

Site build or activation

If a new site is required, it's built on the standard 90-day timeline. If capacity already exists in-region, onboarding is faster still.

Go live & scale

Workloads go live with ongoing support, and capacity can expand as the relationship grows.

Tell us about your workload.

We'll help you figure out whether a dedicated Spacebus site is the right fit.

Start a conversation