Hybrid Deployment
Running sensitive workloads on local infrastructure while selectively using cloud models for approved tasks.
What is Hybrid Deployment?
Hybrid deployment is the realistic shape of most regulated enterprise AI. Retrieval, embeddings, logs, and routing stay local; specific workflows can call external models when policy allows and quality benefits justify it. See On-Premise AI Agent Platform.
Why it matters for on-premise & regulated AI
Hybrid is where most regulated enterprises actually land: sensitive workloads on local models inside the boundary, non-sensitive workloads allowed to reach external APIs. The architecture that makes hybrid safe is policy-based routing — every request is classified and dispatched according to residency and confidentiality rules, so “hybrid” is an enforced policy rather than a hope that developers pick the right endpoint.
Putting Hybrid Deployment to work?
VDF AI runs governed AI agents on your own infrastructure — on-premises, sovereign cloud, or air-gapped. Book a working session to map the architecture.
Talk to VDF AI