DISTRIBUTED AI INFRASTRUCTURE
Distributed AI infrastructure at network scale.
Starfield deploys standardized compute close to power, connectivity and demand, then connects it through one programmable network for AI inference.
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01 / ARCHITECTURE
Decentralized edge mesh, one control plane.
One cloud control plane schedules work across distributed cells. It selects a cell by residency, model availability, latency and load; the cell then selects the node. Multiple inference engines run underneath.
02 / WHAT STARFIELD ENABLES
Compute placed by policy, closer to demand.
P-01
Distributed Capacity
Standardized modules deployed across many sites, connected into one logical network.
P-02
Latency-Aware Inference
Work is placed near the applications and data it serves.
P-03
Residency-Aware Placement
Customer-defined policies set where workloads may run, and are applied at placement.
P-04
Auditable Compute Delivery
Every workload can generate an auditable record of commitment, placement and delivery.
03 / WORK WITH STARFIELD
Turn distributed infrastructure into one AI network.
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