[ Service ]
Edge AI Data Centers
Modular AI compute placed close to the data and the people who use it.
[ Overview ]
Not every AI workload belongs in a distant hyperscale region. Modular, edge-sited compute can bring inference and training closer to where data is produced, with lower latency and more control over residency. We assess sites, size the capacity and plan the power and cooling behind it.
[ What we do ]
- Site selection and feasibilityLand, power, fibre, zoning and permitting.
- Capacity planningGPU and compute sizing against your workloads.
- Modular designContainerised compute that scales in steps.
- Power and coolingOn-site generation, storage and efficient cooling designed in.
- ConnectivityFibre paths and network design for edge sites.
[ What changes ]
- 01
Compute where it is needed
- 02
Control over data residency
- 03
Capacity that grows with demand
[ More in Digital Infrastructure ]