Our infrastructure
From distributed inference nodes to upcoming hyperscale centres. Match the infrastructure to the power, the place and the customer.
01 / Distributed edges
Modular compute nodes form the building blocks of our planned distributed inference network. Each location is shaped around available power, connectivity and the scale and latency requirements of its workloads.
A route for distributed AI workloads, enterprise requirements and capacity closer to demand.
02 / Power-enabled campuses
Our upcoming power-enabled developments include hyperscale data centres. Generation, storage, cooling and compute are assessed together against the load profile, local resources and long-term operating requirements.
A route for locations where an independent or integrated energy strategy supports a viable campus.
03 / Grid-connected campuses
From medium-scale facilities to upcoming hyperscale centres, we develop around a viable grid connection. Capacity, resilience and expansion are shaped around customer demand and what the network can support.
A route for established demand centres with a credible grid connection and room for development.
From a powered shell or dedicated whitespace to an equipment-based capacity solution, the commercial structure follows the customer, site and delivery plan.
Share your target location, power requirement, density and timing. We’ll start with the right development questions.
Discuss an infrastructure requirement