MolternRun a private AI stack
Guides

Connect a model, an interface and your data deliberately.

Start with a documented service combination and review every connection before use.

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Product workflow illustration
A useful next step

Decide whether the model runs in your infrastructure or through a provider. Choose the interface and any vector or tracing service, then configure the documented connection variables. Test with non-sensitive data first and confirm which systems receive prompts and responses.

Put it into practice

Run a private AI stack

01

Test the model and service connections

Choose the model service or external provider, then connect the interface and any vector or tracing services. Verify where prompts and responses travel before using sensitive information.

02

Connect and test the data path

Put the service in the appropriate environment and use explicit private connections where supported. Keep server credentials out of browser code and source control.

03

Review people and resource grants

Use managed roles and the narrowest useful scope. Set expiry for temporary access, inspect effective permissions and revoke the grant when the work is finished.

Detailed instructions are maintained in the product documentation.

Questions before you start

Does private hosting make any model private?

No. External providers can still receive requests. Your configuration determines where data goes and which services can access it.

Who owns backups and recovery?

Name an owner and review the service-specific persistence and recovery instructions before relying on its data.

Does using a secret allow someone to reveal it?

Secret use and secret reveal are separate permissions. Grant sensitive access only when the task requires it.

Moltern

Start with one useful workload.

Bring your code or choose a service, then give the result a clear operating home.

Start building ↗