National energy grid operator

A national transmission operator was rolling out AI-driven load balancing and predictive maintenance across a smart grid, but its models and SCADA telemetry ran on a hyperscaler region under foreign jurisdiction. Regulators required that grid-control data never leave national territory or fall under third-party legal reach, and the operator needed assurance that autonomous optimization agents could not act outside approved policy.

A sovereign HPC cloud deployed inside the operator's jurisdiction on Vera Rubin GPUs. Data residency enforced by policy at the infrastructure layer rather than by contract. Cryptographic identity for every optimization agent, operator, and device, with continuous verification and policy-bounded agent actions so no autonomous decision could execute outside an approved envelope. A real-time Digital Twin mirroring grid and compute state for continuous monitoring.

Grid-control workloads and training data remained inside national borders with verifiable enforcement. The operator gained AI-driven forecasting and predictive maintenance without ceding control of sensitive telemetry, and passed regulatory review on data sovereignty and agent accountability.