Nations and public sector
Statewide, regional, or national AI capability with governance and workforce planning from the start. Compute and data inside your own borders.
Power, data hubs, compute, and the people to run them, brought together so a region can own its AI capability instead of renting it. No queue. No water. No waiting.
Compact, close to where compute is used.
On sites that already have power.
Same hardware. Multiplied in software.
AI-driven orchestration, up from about 30%.
Technology figures are portfolio targets, to be benchmarked at the innovation hub.
AI is becoming infrastructure, like power and water. The places that host it should be able to own it, govern it, and benefit from it.
A handful of states and enterprises decide where compute lives, who can use it, and on what terms.
The communities that host the load carry its strain on their grid, their water, and their land.
As AI reshapes work, the people and places that make it possible see little of what it creates.
Grows without waiting in a utility's queue or straining the local grid.
Workloads and data stay under the owner's control, inside their jurisdiction.
What the compute earns stays with the people and places that host it.
Most AI infrastructure is assembled from pieces owned by someone else. A Sovereign Point hub brings every layer together, so the place that hosts it can run it, govern it, and grow it.
Technology figures are portfolio targets, to be benchmarked at the innovation hub.
Registered apprenticeships, learning in live service at the innovation hub, and local operators, so the capability stays where it is built.
Built locallyHubs share surplus capacity on an open exchange and reroute around outages, without giving up control of their data or infrastructure.
FederatedAI-driven orchestration sends each workload to the right capacity, under the owner's policies for data, security, and location.
~85% utilizationSoftware that takes more work from the same accelerators. Nothing new has to be designed, sourced, or built.
~3x per rackEdge hubs of 1 to 3.5 MW close to demand, and anchor campuses of 200 MW and up on sites that already have power, cooled with little to no water.
PUE ~1.05Power made on site from baseload blocks and local waste streams. On the grid, off it, or both, matched to each site.
Grid optionalThe same seven problems stop almost every project. The blueprint answers each one with a layer of the stack, and leaves something lasting behind.
Four axes. One origin.
Some will build a new hub. Some will modernize what they already run. Some will simply need capacity they can trust. Each path starts from the same blueprint.
Statewide, regional, or national AI capability with governance and workforce planning from the start. Compute and data inside your own borders.
AI and research compute on campus, without waiting years for capacity, with students trained on the systems they use.
Private AI capacity you own and govern, with data kept local for patients, customers, and regulators.
A hub that turns a wastewater cost into a resource, brings lasting technical jobs, and shares what the compute earns.
Capacity now, not years from now, on trusted terms through the exchange, without managing the infrastructure yourself.
Orchestration and the compute multiplier run on accelerators already in service, raising utilization without changing your workflows.
Nine kinds of host. One origin.
Select a node. Each connects back to the origin.
Sovereignty is not only where the servers sit. It is who knows how to run them. Every hub trains the people who will operate it, and the innovation hub doubles as a classroom.
Registered apprenticeships on production systems. Many operations roles are reachable with a high school education and the right certifications.
The innovation hub is where people learn by doing, on real power and real workloads, with open days for the region's colleges.
Operators trained on one hub carry the playbook to the next. The skills, and the jobs, stay in the places that host the compute.
Hubs join a governed network. Each keeps control of its own data, its own policies, and its own infrastructure, and shares only what it chooses.
If one site goes down, work reroutes to another. A network of independent hubs is harder to disrupt than any single campus.
Idle compute is offered on an open exchange, on terms the owner sets. Builders and owners are paid for what they create.
Reference designs, benchmarks, and playbooks from the innovation hub give every new hub a measured starting point.
Built where they make sense: on the grid, off it, or both, with power matched to each site.
Hubs connect into a mesh that routes work to wherever power and capacity are free.
Surplus compute from every hub, traded openly. Nodes orbit. Value flows. Sovereignty remains.
The endpointA data center in every garage.
Several sites are in development, from anchor campuses on land that already has power to compact edge hubs close to demand. Each one is announced when it is secured.
If you are building AI capability for a nation, a region, an institution, or a community, start with a conversation. We will map the path from where you are to infrastructure you own.