Single units and small clusters deployed at the edge — cell towers, hospitals, remote installations, sovereign sites. Same modular platform as FS-1, in a footprint that fits anywhere.
Centralized hyperscale capacity is the default story of AI infrastructure. But a growing share of AI workloads — real-time inference, latency-sensitive applications, regional data sovereignty requirements — needs compute that lives close to where the data is generated and consumed.
Cell tower bases. Hospital networks. Remote industrial sites. Defense installations. These are deployment environments where conventional data center construction is impossible or impractical — but where modular infrastructure fits naturally.
Fullscale's edge deployments use the same modular unit DNA as the FS-1 campus. The unit is the same product. The configuration adapts to the site. The deployment is fast because the unit is already being manufactured.
Edge isn't just one site. For telecom carriers, healthcare systems, defense agencies, and fleet operators, edge means tens or hundreds of deployments rolled out across a region, a country, or a network footprint.
Fullscale's domestic manufacturing model enables fleet-scale delivery — multiple units delivered and commissioned in parallel across multiple geographies. The platform is built for this. The supply chain is built for this. The deployment process is built for this.
The operating model also scales. Once an edge unit is deployed, the maintenance, monitoring, and refresh logic is the same as every other unit in the fleet. The infrastructure becomes operationally coherent across the entire deployment.
Tell us your geography, your scale, and your workload requirements. We'll spec the right deployment model — single unit, cluster, or fleet.
