Merge pull request #296438 from craigshoemaker/aca/serverless-gpu-preview

[Container Apps] Remove serverless GPU preview flag

Author: prmerger-automator[bot]

articles/container-apps/gpu-image-generation.md

@@ -1,5 +1,5 @@
 ---
-title: "Tutorial: Generate images using serverless GPUs in Azure Container Apps (preview)"
+title: "Tutorial: Generate images using serverless GPUs in Azure Container Apps"
 description: Learn to run to generate images powered by serverless GPUs in Azure Container Apps.
 services: container-apps
 author: craigshoemaker
@@ -11,7 +11,7 @@ ms.date: 11/06/2024
 ms.author: cshoe
 ---
 
-# Tutorial: Generate images using serverless GPUs in Azure Container Apps (preview)
+# Tutorial: Generate images using serverless GPUs in Azure Container Apps
 
 In this article, you learn how to create a container app that uses [serverless GPUs](gpu-serverless-overview.md) to power an AI application.
 

articles/container-apps/gpu-serverless-overview.md

@@ -1,17 +1,17 @@
 ---
-title: Using serverless GPUs in Azure Container Apps (preview)
+title: Using serverless GPUs in Azure Container Apps
 description: Learn to how to use GPUs with apps and jobs in Azure Container Apps.
 services: container-apps
 author: craigshoemaker
 ms.service: azure-container-apps
 ms.custom:
   - ignite-2024
 ms.topic: how-to
-ms.date: 11/06/2024
+ms.date: 03/17/2025
 ms.author: cshoe
 ---
 
-# Using serverless GPUs in Azure Container Apps (preview)
+# Using serverless GPUs in Azure Container Apps
 
 Azure Container Apps provides access to GPUs on-demand without you having to manage the underlying infrastructure. As a serverless feature, you only pay for GPUs in use. When enabled, the number of GPUs used for your app rises and falls to meet the load demands of your application. Serverless GPUs enable you to seamlessly run your workloads with automatic scaling, optimized cold start, per-second billing with scale down to zero when not in use, and reduced operational overhead. 
 

articles/container-apps/workload-profiles-overview.md

@@ -22,7 +22,7 @@ Profiles are configured to fit the different needs of your applications.
 | Profile type | Description | Potential use |
 |--|--|--|
 | Consumption | Automatically added to any new environment. | Apps that don't require specific hardware requirements |
-| Consumption GPU (preview) | Scale-to-zero serverless GPUs are available in West US 3, Australia East, and Sweden Central regions. | Apps that require GPU |
+| Consumption GPU | Scale-to-zero serverless GPUs are available in West US 3, Australia East, and Sweden Central regions. | Apps that require GPU |
 | Dedicated (General purpose) | Balance of memory and compute resources | Apps that require larger amounts of CPU and/or memory |
 | Dedicated (Memory optimized) | Increased memory resources | Apps that need access to large in-memory data, in-memory machine learning models, or other high memory requirements |
 | Dedicated (GPU enabled) (preview) | GPU enabled with increased memory and compute resources available in West US 3 and North Europe regions. | Apps that require GPU |
@@ -55,8 +55,8 @@ There are different types and sizes of workload profiles available by region. By
 | Display name | Name | vCPU | Memory (GiB) | GPU | Category | Allocation | Quota name |
 |---|---|---|---|---|---|---|
 | Consumption | Consumption | 4 | 8 | - | Consumption | per replica | Managed Environment Consumption Cores |
-| Consumption-GPU-NC24-A100 (preview) | Consumption-GPU-NC24-A100 | 24 | 220 | 1 | Consumption GPU | per replica | Subscription Consumption NCA 100 Gpus |
-| Consumption-GPU-NC8as-T4 (preview) | Consumption-GPU-NC8as-T4 | 8 | 56 | 1 | Consumption GPU | per replica | Subscription Consumption T 4 Gpus |
+| Consumption-GPU-NC24-A100 | Consumption-GPU-NC24-A100 | 24 | 220 | 1 | Consumption GPU | per replica | Subscription Consumption NCA 100 Gpus |
+| Consumption-GPU-NC8as-T4 | Consumption-GPU-NC8as-T4 | 8 | 56 | 1 | Consumption GPU | per replica | Subscription Consumption T 4 Gpus |
 | Dedicated-D4 | D4 | 4 | 16 | - | General purpose | per node | Managed Environment General Purpose Cores |
 | Dedicated-D8 | D8 | 8 | 32 | - | General purpose | per node | Managed Environment General Purpose Cores |
 | Dedicated-D16 | D16 | 16 | 64 | - | General purpose | per node | Managed Environment General Purpose Cores |