feat(inference): update faq (#4672)

* feat(genapi): update faq

* Update pages/managed-inference/faq.mdx

Co-authored-by: Rowena Jones <[email protected]>

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Co-authored-by: Néda <[email protected]>
Co-authored-by: Rowena Jones <[email protected]>

Author: 3 people

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 ranges (such as during working hours). To do so, you can automate deployment creation and deletion using the [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](/serverless-jobs/) to be automatically carried out periodically.
+
 ## 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.