It typically includes controlled user access, an AI interface, a model runtime, appropriate compute resources and clearly defined operating functions.
Local AI infrastructure
Local AI architecture: a reference for controlled operations
The architecture separates user access, application layer, model runtime, data storage and operating functions. Whether components run together or separately depends on scope and protection needs.
Technical prerequisites
What is clarified before starting
- An agreed network and access boundary
- Roles for operations, data and business use
- A process for backups, updates and monitoring
Typical use cases
Where this architecture is used
- Technical decision support before procurement
- Handover to internal IT or external operators
- An expandable structure after a successful pilot
At a glance
Technical context without false precision
| Access | browser, roles, optional identity provider |
|---|---|
| AI layer | Open WebUI, Ollama or compatible model runtime |
| Operations | segmentation, backup, monitoring, documentation and update process |
Scope and limitations
What this solution intentionally does not promise
The reference shown is an orientation pattern, not a universally suitable blueprint. Production architecture, safeguards and integrations are aligned to your environment.
FAQ
Frequently asked questions
Not necessarily. A compact architecture can suit pilots; components can be separated for higher requirements.
Sources and technical context
These sources support technical context. They are not a project commitment and do not replace individual assessment.