Data Sovereignty in the Age of LLMs

Executive Summary As large language models become central to organizational workflows, data residency and sovereignty have emerged as the primary bottlenecks to adoption. This deep dive outlines the infrastructure requirements for data-sovereign AI.

Deployment Paradigms ### Local Inference (vLLM/Ollama) Deploying efficient models on internal hardware ensures that no organizational intelligence ever leaves the physical or virtual premises.

Private Cloud VPC Orchestrating AI workloads within a client's existing AWS, Azure, or GCP Virtual Private Cloud maintains the security perimeter while providing the scalability of cloud compute.