Use case
Sovereign AI Factory
Private, controlled AI infrastructure for regulated organizations.
Infrastructure that can be operated, inspected, and expanded under a defined jurisdiction: power to platform, not only the model weights.
Architecture
- 01National / Org Data
- 02Controlled Ingest
- 03Sovereign Storage
- 04Private compute domain
- 05Governed Platform
- 06Authorized Workloads
- 07Operate
This path is one instance of the factory data pipeline: data to workload, landed on the accelerator plant, then operate. NeuronPlant engineers the cell and the vendor coordination. We do not write every model. We do not construct the hall.
Infrastructure
- Site
- In-jurisdiction hall from a partner or custom-system supplier. Inspectable plant and operational control.
- Power
- Facility-level independence and documented failover
- Cooling
- Heat rejection the hall owner or custom-system supplier presents, with operational control in-jurisdiction.
- Compute
- Dedicated accelerator domains, no shared cloud control plane
- Network
- Air-gapped or tightly gated interconnects
- Structured cabling
- Inspectable plant: labeled, tested, as-built. No undocumented jumpers on the air-gap.
- Storage
- In-country datasets, encryption and key custody
- Platform
- National / org data → controlled ingest → governed platform → authorized workloads.
- Operate
- In-jurisdiction runtime cell. Observe stays inside the boundary.
Design considerations
- Data residency and custody
- Personnel and operational control
- Supply chain of compute
- Auditability of the stack
- Independent support model
- Long-term expansion path
- Observe stays inside the jurisdiction
NP / Intake
Tell us what you need to achieve with AI.
One accountable delivery partner from AI requirement to a delivered factory: site, power, cooling, compute, fabric, structured cabling & passive infrastructure, storage, platform, procurement, and handover. You do not need a vendor list or a hall name first. The hall is a supplier.