A guide to AI sovereignty: How HPE and NVIDIA help agencies balance control, compliance and scale

As AI transitions from experimental pilots into core operational environments, maintaining strict control over data, where it resides, model behavior and overall system governance is both a strategic and regulatory imperative. Particularly given the sensitivity of government workloads, scaling AI requires a careful balance between deployment speed and authority over data, infrastructure and outcomes.