update

Author: mrbullwinkle

articles/ai-services/openai/concepts/provisioned-throughput.md

@@ -68,13 +68,12 @@ az cognitiveservices account deployment create \
 
 ### Quota
 
-Provisioned throughput quota represents a specific amount of total throughput you can deploy. Quota in the Azure OpenAI Service is managed at the subscription level. All Azure OpenAI resources within the subscription share this quota. 
+Provisioned throughput quota represents a specific amount of total throughput you can deploy. Quota in the Azure OpenAI Service is managed at the subscription level. All Azure OpenAI resources within the subscription share this quota.
 
-Quota is specified in Provisioned throughput units and is specific to a (deployment type, model, region) triplet. Quota isn't interchangeable. Meaning you can't use quota for GPT-4 to deploy GPT-35-turbo. You can raise a support request to move quota across deployment types, models, or regions but the swap isn't guaranteed.
+Quota is specified in Provisioned throughput units and is specific to a (deployment type, model, region) triplet. Quota isn't interchangeable. Meaning you can't use quota for GPT-4 to deploy GPT-3.5-Turbo.
 
 While we make every attempt to ensure that quota is deployable, quota doesn't represent a guarantee that the underlying capacity is available. The service assigns capacity during the deployment operation and if capacity is unavailable the deployment fails with an out of capacity error.
 
-
 ### Determining the number of PTUs needed for a workload
 
 PTUs represent an amount of model processing capacity. Similar to your computer or databases, different workloads or requests to the model will consume different amounts of underlying processing capacity. The conversion from call shape characteristics (prompt size, generation size and call rate) to PTUs is complex and non-linear. To simplify this process, you can use the [Azure OpenAI Capacity calculator](https://oai.azure.com/portal/calculator) to size specific workload shapes.