customize

To deploy Azure OpenAI models with custom SKU and capacity settings, use a guided deployment workflow that prompts you for model version, SKU type like GlobalStandard or ProvisionedManaged, and capacity planning inputs. It configures the deployment without manual scripting.

Yes, you can configure RAI policy and content filtering during an Azure OpenAI deployment by specifying your desired policy inputs in the guided workflow. This ensures the deployed model adheres to enterprise content safety requirements.

Azure OpenAI deployment supports PTU priority processing and dynamic quota for enterprise workloads through advanced configuration options. The guided workflow enables these features to handle capacity allocation across regions.

Region spillover for Azure OpenAI model deployments redirects traffic to backup deployments when primary region capacity is exhausted. It is an advanced option configurable during the guided deployment workflow.

Yes, you need Azure CLI installed and proper authentication configured to deploy Azure OpenAI models with advanced customization. The guided deployment workflow requires these to execute the configured model, region, and policy settings.