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Azure OpenAI vs self-hosted private AI

Both can satisfy strict IT policies. The difference is whether your data leaves your tenancy for a vendor-managed model endpoint — or runs on infrastructure you own end-to-end.

Choose Azure OpenAI if

  • You are already standardized on Microsoft Azure
  • Your compliance model accepts Microsoft as a data processor with a BAA
  • You want OpenAI models without operating GPU infrastructure
  • You have internal staff to integrate, monitor, and govern the service

Choose self-hosted private AI if

  • Policy requires inference within infrastructure you solely control
  • You want to avoid per-token cloud inference costs at scale
  • You need custom retrieval and workflows beyond a hosted API
  • You do not want to become an infrastructure team — but want ownership

The architectural split

Azure OpenAI Service hosts OpenAI models in Microsoft's cloud. Your applications call Azure endpoints; Microsoft operates the model serving layer. Self-hosted private AI runs open-weight models on compute you control — a private server, dedicated cloud tenancy, or on-prem hardware — with no vendor inference path per request.

FactorAzure OpenAISelf-hosted (IlluminAI)
Control planeMicrosoft AzureYour accounts and keys
Model lineageOpenAI models via AzureOpen-weight models you select
Compliance framingBAA / DPA with MicrosoftNo external inference processor
CustomizationRAG via your apps + Azure APIsCustom workflows, agents, data layer built for you
Ops burdenYour IT + Azure monitoringManaged by IlluminAI under your ownership
Cost shapeConsumption-based API pricingFixed-scope build + infra you pay directly

When teams switch or add private deployment

Common triggers: a client or regulator asks where prompts go; inference spend grows faster than headcount; or counsel wants a demonstrable air gap for certain matter types. Some firms run Azure OpenAI for low-sensitivity work and private deployment for confidential workflows — that hybrid is valid when scoped explicitly.

Last verified: 2026-09-18 · Sources: Microsoft Azure OpenAI Service documentation (deployment model); IlluminAI deployment pattern on client-owned infrastructure.