Enterprises evaluating AI adoption face a fundamental architectural crossroads: integrate proprietary cloud APIs or deploy self-hosted open-weights models within private cloud infrastructure.
Both approaches offer distinct trade-offs in terms of data sovereignty, customization potential, infrastructure maintenance overhead, and per-token inference costs.
Privacy, Data Sovereignty and Compliance
For industries bound by strict regulatory standards (such as healthcare, banking, and defense), self-hosting open-weights models ensures confidential data never leaves private VPC perimeters.