feat(genapi): update faq

Author: fpagny

pages/managed-inference/faq.mdx

@@ -60,6 +60,10 @@ You can select the Instance type based on your model’s computational needs and
 Billing is based on the Instance type and usage duration. Unlike [Generative APIs](/generative-apis/quickstart/), which are billed per token, Managed Inference provides predictable costs based on the allocated infrastructure.
 Pricing details can be found on the [Scaleway pricing page](https://www.scaleway.com/en/pricing/model-as-a-service/#managed-inference).
 
+## Can I pause Managed Inference billing when the instance is not in use ?
+When a Managed Inference deployment is running, corresponding resources are provisioned and thus billed. Resources can therefore not be paused.
+However, you can still optimize your Managed Inference deployment to fit within specific time range (such as during working hours). To do so, you can automate deployment creation and deletion using [Managed Inference API](https://www.scaleway.com/en/developers/api/inference/), [Terraform](https://registry.terraform.io/providers/scaleway/scaleway/latest/docs/resources/inference_deployment) or [Scaleway SDKs](https://www.scaleway.com/en/docs/scaleway-sdk/). These actions can be programmed using [Serverless Jobs]() to be performed periodically in an automated way.
+
 ## Can I run inference on private models?
 Yes, Managed Inference allows you to deploy private models with access control settings. You can restrict access to specific users, teams, or networks.