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Choose who may use the inference engines and which models

Decide whether the deployment’s self-hosted chat engine (llm) and image engine (image) are open to every member or only to the members you grant. If the deployment administrator allows it, you can also take engine models in.

What you do What happens
Under Engine access, choose who may use each role The role disappears from the launch menu and the catalogue of members who lose it
If allowed, take models in under Inference engine models The model enters the deployment’s catalogue. Making it selectable for members is the deployment administrator’s job

Whether someone may use an engine is decided in two layers.

Layer Who decides What
Tenant Deployment administrator Whether this tenant may use each role (llm / image). Both are allowed by default
Member You Whether a role the tenant may use is open to every member or to granted members only

GPU instances are billed by the hour, so this is a cost decision. Both layers work per role, not per model.

Open Tenant settings → Operations › Engine access.

Who may use the inference engines: for Chat (llm) and Image generation (image), a choice of Every member or Granted members only, with a table of ticks per member below
  1. For each role (Chat (llm), Image generation (image)), choose Every member or Granted members only
  2. For a role set to Granted members only, only the members ticked in the table may use it
  • Tenant admins are not granted automatically. If you use it yourself, tick your own row too
  • Changes reach running workspaces at once. The role disappears from the launch menu and the catalogue of members who lose it, and their running sessions are refused from the next request
  • Going back to Every member keeps the ticks. Restricting again brings back the same people
  • Tick first and then switch to Granted members only, and nobody loses access in between

The same ticks are on the member detail too, with whether that member may use the role right now. Either place changes the same setting. Switching between every member and granted members only is done on this screen only.

“The deployment admin has turned this off” appears

Section titled ““The deployment admin has turned this off” appears”

The deployment administrator has turned the role off for the whole tenant. It is shown but cannot be changed here, and a tick does not make it usable. To use it, talk to the deployment administrator.

Taking a model into the deployment’s catalogue is normally the deployment administrator’s job. When they have allowed your tenant to take models in, Operations › Inference engine models appears in Tenant settings, and you can do it too. Without that item, the permission has not been given.

  1. Open Operations › Inference engine models
  2. Search for a model on Hugging Face, Civitai or by URL
  3. Read the plan on the card and press Take it in

Search and the plan card work as on the deployment administrator’s screen. Details are in Read the plan and take it in.

What you can do What only the deployment administrator can do
Search for and take models in Enable a model (make it selectable for members)
See the list of rows taken in (id, name, family, licence, enabled or not) Change the selected image checkpoint
See the S3 Bucket entries created by your own tenant’s jobs Delete a row
Register the deployment’s Hugging Face and Civitai tokens
The engine mode, the GPU class, starting and stopping instances
  • There is one catalogue per deployment. The id of a model you take in is visible to every tenant
  • Who accepted which licence is kept on the row (which tenant, who, when, which licence). The audit log records the same set
  • A row the deployment administrator took in has an empty tenant. That means the deployment administrator accepted it for the whole deployment