FFPrivate AIA focused Faith Forge Labs service

Before self-hosting AI

What needs to be controlled, and who will run it?

Private deployment should answer an actual requirement. These questions help prepare a useful assessment.

What is the data rule?

Name the information that must stay within a boundary and the boundary itself. Include any restrictions on logs, backups, support access and external providers. Have the responsible organization owner confirm the requirement.

What result would make the service useful?

Prepare permitted examples of the task and a description of an acceptable answer. Include missing information, conflicting documents and requests the application should decline or route to a person.

What should a hardware pilot measure?

Measure the task under its expected user load. Model choice, input length and simultaneous requests can affect memory needs and responsiveness. A single successful demonstration is not a capacity plan.

Platform behavior varies. For one implementation's explanations of memory and concurrency, see the official Ollama FAQ; confirm the documentation for the actual serving software selected.

Does every component remain inside the boundary?

Map document processing, search, model requests, storage and monitoring. A local model can be connected to an application that still sends information elsewhere. Check the full path against the agreed requirement.

What will operation cost?

Include compute, storage, updates, backup, monitoring and staff support. Compare that total with permitted hosted options instead of assuming self-hosting is automatically less expensive.

Who approves a model update?

Keep a representative evaluation set and release record. Recheck the task, capacity and failure handling before replacing the model or serving software.

Keep the first inquiry non-sensitive.

Send the task, expected users and broad data boundary. Detailed protected review can be arranged separately.