Learn Editor: Update deployment-types.md

Author: sydneemayers

articles/ai-services/openai/how-to/deployment-types.md

@@ -38,7 +38,7 @@ Azure OpenAI offers three types of deployments. These provide a varied level of
 | **Cost**                 | [Least expensive option](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) <br> 50% less cost compared to Global Standard prices. Access to all new models with larger quota allocations.  | [Global deployment pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) |May experience cost savings for consistent usage|  [Regional pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) |May experience cost savings for consistent usage |
 | **What you get**         |[Significant discount compared to Global Standard](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) | Easy access to all new models with highest default pay-per-call limits.<br><br> Customers with high volume usage may see higher latency variability |Access to high & predictable throughput across Azure global infrastructure. Determine throughput per PTU using the provided [capacity calculator](/azure/ai-services/openai/how-to/provisioned-throughput-onboarding). | Easy access with [SLA on availability](https://azure.microsoft.com/support/legal/sla/). Optimized for low to medium volume workloads with high burstiness. <br><br>Customers with high consistent volume may experience greater latency variability. | Regional access with very high & predictable throughput. Determine throughput per PTU using the provided [capacity calculator](./provisioned-throughput-onboarding.md#estimate-provisioned-throughput-and-cost) |
 | **What you don’t get**   |❌Real-time call performance <br><br>❌Data processing guarantee<br> <br> Data stored at rest remains in the designated Azure geography, while data may be processed for inferencing in any Azure OpenAI location. [Learn more about data residency](https://azure.microsoft.com/explore/global-infrastructure/data-residency/)  |❌Data processing guarantee<br> <br> Data stored at rest remains in the designated Azure geography, while data may be processed for inferencing in any Azure OpenAI location. [Learn more about data residency](https://azure.microsoft.com/explore/global-infrastructure/data-residency/) |❌Pay-per-call flexibility <br> <br>❌Data processing guarantee<br> <br> Data stored at rest remains in the designated Azure geography, while data may be processed for inferencing in any Azure OpenAI location. [Learn more about data residency](https://azure.microsoft.com/explore/global-infrastructure/data-residency/)| ❌High volume w/consistent low latency | ❌Pay-per-call flexibility |
-| **Per-call Latency**     | Not Applicable (file based async process) | Optimized for real-time calling & low to medium volume usage. Customers with high volume usage may see higher latency variability. Threshold set per model |Optimized for real-time calling & high-volume usage. | Optimized for real-time calling & low to medium volume usage. Customers with high volume usage may see higher latency variability. Threshold set per model |Optimized for real-time calling & high volume usage.|
+| **Per-call Latency**     | Not Applicable (file based async process) | Optimized for real-time calling & low to medium volume usage. Customers with high volume usage may see higher latency variability. Threshold set per model |Optimized for real-time calling & high-volume usage. | Optimized for real-time calling & low to medium volume usage. Customers with high volume usage may see higher latency variability. Threshold set per model |Optimized for real-time calling & high-volume usage.|
 | **Sku Name in code**     |  `GlobalBatch` |   `GlobalStandard`               |`GlobalProvisionedManaged`| `Standard`   |      `ProvisionedManaged`       |
 | **Billing model**        |  Pay-per-token |Pay-per-token |Hourly billing with optional purchase of monthly or yearly reservations| Pay-per-token |Hourly billing with optional purchase of monthly or yearly reservations|
 
@@ -61,6 +61,13 @@ Global deployments are available in the same Azure OpenAI resources as non-globa
 
 Customers with high consistent volume may experience greater latency variability. The threshold is set per model. See the [quotas page to learn more](./quota.md).  For applications that require the lower latency variance at large workload usage, we recommend purchasing provisioned throughput.
 
+## Global provisioned
+
+> [!IMPORTANT]
+> Data stored at rest remains in the designated Azure geography, while data may be processed for inferencing in any Azure OpenAI location. [Learn more about data residency](https://azure.microsoft.com/explore/global-infrastructure/data-residency/).
+
+Global deployments are available in the same Azure OpenAI resources as non-global deployment types but allow you to leverage Azure's global infrastructure to dynamically route traffic to the data center with best availability for each request. Global provisioned deployments provide reserved model processing capacity for high and predictable throughput using Azure global infrastructure.  
+
 ## Global batch
 
 > [!IMPORTANT]
@@ -88,7 +95,7 @@ Key use cases include:
 
 Azure Policy helps to enforce organizational standards and to assess compliance at-scale. Through its compliance dashboard, it provides an aggregated view to evaluate the overall state of the environment, with the ability to drill down to the per-resource, per-policy granularity. It also helps to bring your resources to compliance through bulk remediation for existing resources and automatic remediation for new resources. [Learn more about Azure Policy and specific built-in controls for AI services](/azure/ai-services/security-controls-policy).
 
-You can use the following policy to disable access to Azure OpenAI global standard deployments.
+You can use the following policy to disable access to Azure OpenAI global standard deployments. To disable access to Azure global provisioned or global batch deployments, replace `GlobalStandard` with `GlobalProvisionedManaged` or `GlobalBatch` for the intended sku name. 
 
 ```json
 {