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Copy file name to clipboardExpand all lines: articles/container-apps/workload-profiles-overview.md
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@@ -25,6 +25,9 @@ Profiles are configured to fit the different needs of your applications.
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| 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 |
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| 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 |
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> [!NOTE]
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> When using GPU-enabled workload profiles, make sure your application is running the latest version of [CUDA](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda).
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The Consumption workload profile is the default profile added to every Workload profiles [environment](environment.md) type. You can add Dedicated workload profiles to your environment as you create an environment or after it's created.
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For each Dedicated workload profile in your environment, you can:
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