update sections

Author: craigshoemaker

articles/container-apps/cold-start.md

@@ -5,7 +5,7 @@ services: container-apps
 author: craigshoemaker
 ms.service: azure-container-apps
 ms.topic: conceptual
-ms.date: 04/21/2025
+ms.date: 05/06/2025
 ms.author: cshoe
 ---
 
@@ -27,16 +27,9 @@ Often images transition training to inference usage with only minimal tweaks. Ma
 
 Use container registries close to your Container Apps environment. Usually this means you want to use an Azure Container Registry deployed in the same region as your environment, or a premium registry that features global distribution.
 
-## Use artifact streaming
-
-You can improve the cold start of your container app by taking advantage of artifact streaming. Azure Container Registry offers [image streaming](/azure/container-registry/container-registry-artifact-streaming) which can significantly speed up image startup times.
-
-> [!NOTE]
-> To use artifact streaming, your container images must be hosted in a premium Azure Container Registry.
-
 ## Manage large downloads
 
-Use [storage mounts](storage-mounts.md) to hold critical data close to your container app, especially when the file sizes are large. For instance, if your app requires a large language model, you can pre-download the model to your storage account. By reading large files from a storage account, you avoid the latency of pulling files across the internet.
+Use [storage mounts to hold critical data close to your container app](storage-mounts.md), especially when the file sizes are large. For instance, if your app requires a large language model, you can pre-download the model to your storage account. By reading large files from a storage account, you avoid the latency of pulling files across the internet.
 
 If you are creating a storage mount for AI workloads, make sure you use the most appropriate [mount options](/troubleshoot/azure/azure-kubernetes/storage/mountoptions-settings-azure-files) for your needs.
 

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

@@ -93,7 +93,11 @@ Serverless GPUs are run on consumption GPU workload profiles. You manage a consu
 
 ## Improve GPU cold start
 
-You can significantly improve cold start times by [enabling artifact streaming](cold-start.md#use-artifact-streaming) and locating large files, like large language models, in a [storage mount](cold-start.md#manage-large-downloads).
+You can significantly improve cold start times by enabling artifact streaming and locating large files, like large language models, in a storage mount.
+
+- [Artifact streaming](/azure/container-registry/container-registry-artifact-streaming): Azure Container Registry offers image streaming which can significantly speed up image startup times. To use artifact streaming, your container images must be hosted in a premium Azure Container Registry.
+
+- [Storage mounts](cold-start.md#manage-large-downloads): Reduce the effects of network latency by storing large files in an Azure storage account associated with your container app.
 
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