01AI builders
Teams shipping AI products.
Capacity and inference without managing infrastructure.
Compute we own, run, and stand behind.
We keep a share of every site to own and operate, and offer it as reliable capacity and managed inference.
Pillar 02Owned and operatedManaged inferenceMatched to the workload
10 to 20%
Of each siteRetained to own and operate.
1Operator
AccountableThe team that builds the site runs the compute.
01Own and operate compute
A hybrid model.
The common model is to build, lease, and step back. We lease most of each site to anchor tenants and keep 10% to 20% to own and operate ourselves.
That retained share is how we serve customers who need capacity without running a facility, and it keeps us accountable for how every site performs.
- 01
Reliable capacity
Dedicated capacity for teams that need compute on predictable terms.
- 02
Managed inference
Models served and run for you, so your team can focus on the product.
- 03
Matched to the work
Not every workload needs the newest accelerators. Previous-generation hardware, well run, serves many of them at a lower cost.
02How it works
How to work with us.
Start with the workload, not the hardware.
Step 1
Scope
The workload, the data rules, and where it needs to run.
Step 2
Match
The site and hardware that fit, across campuses and edge hubs.
Step 3
Run
Capacity or managed inference, operated by our team.
Step 4
Grow
More capacity from the network as demand grows.
03Who it serves
Who it serves.
02Enterprise
Companies moving AI into production.
Dedicated capacity with data kept where it needs to be.
03Public sector
Resilient, secure systems.
Capacity for public-sector needs, built to keep running.
04At a glance
Compute services.
Reliable compute capacity and managed inference on hardware Sovereign Point owns and operates, matched to what each workload actually needs.
Pricing and availability are shared in conversation.
| Model | Hybrid: anchor tenants lease most of each site; Sovereign Point owns and operates 10% to 20% |
|---|---|
| Services | Dedicated capacity and managed inference |
| Hardware | Commercially available accelerators, including previous-generation hardware where it fits the work |
| Where | Anchor campuses and edge hubs, coordinated as one |
05Works with
Part of one system.
06 / Pillar 04
Network coordination
A coordination layer that lets campuses and edge hubs act as one system, routing work across sites and sharing spare compute through an exchange.
Explore → 05 / Pillar 03Innovation hub
A live operating environment where next-generation power, cooling, and compute technology goes into service before it is carried to every Sovereign Point site.
Explore → 02 / Pillar 01Edge hubs
Compact edge hubs of 1 to 3.5 MW, placed close to demand and coordinated with the anchor campuses so many sites act as one system.
Explore →