AWS sagemaker documentation change

Service: sagemaker · 2026-07-07 · Documentation low

File: sagemaker/latest/dg/studio-updated-launch.md

Summary

Added new 'Service quotas for Studio' section explaining Studio workload quotas, viewing quotas via Service Quotas console, and requesting quota increases.

Security assessment

The change focuses on resource management quotas without addressing security vulnerabilities or security features. No evidence of security incident remediation.

Diff

diff --git a/sagemaker/latest/dg/studio-updated-launch.md b/sagemaker/latest/dg/studio-updated-launch.md
index 204b5e889..80fbf931a 100644
--- a//sagemaker/latest/dg/studio-updated-launch.md
+++ b//sagemaker/latest/dg/studio-updated-launch.md
@@ -7 +7 @@
-PrerequisitesLaunch from the Amazon SageMaker AI consoleLaunch using the AWS CLI
+PrerequisitesService quotas for StudioLaunch from the Amazon SageMaker AI consoleLaunch using the AWS CLI
@@ -26,0 +27,2 @@ This page's topics demonstrate how to launch Amazon SageMaker Studio from the Am
+  * Service quotas for Studio
+
@@ -46,0 +49,48 @@ Before you begin, complete the following prerequisites:
+## Service quotas for Studio
+
+Studio workloads are subject to service quotas. These quotas limit the number of instances you can use or concurrent jobs you can run. Quotas apply to different Studio features including endpoint deployments, training jobs, JupyterLab, and CodeEditor.
+
+After you verify your account, you receive default quotas for supported GPU instance types. You can start using these instances without requesting an increase.
+
+### View your Studio quotas using the
+
+Use the Service Quotas console to check your current quota limits.
+
+  1. Open the Service Quotas console at [https://console.aws.amazon.com/servicequotas/](https://console.aws.amazon.com/servicequotas/).
+
+  2. In the left navigation pane, choose **AWS services**.
+
+  3. From the AWS services list, search for and choose **Amazon SageMaker AI**.
+
+  4. In the Service quotas list, review the quota name, applied value, AWS default quota, and whether you can adjust the quota.
+
+  5. Search for quotas relevant to your Studio workload. For example, search for the instance type you plan to use.
+
+
+
+
+###### Note
+
+Quota limits are also visible within Studio when you choose compute resources. If your quota is too low, choose the limit increase message. This opens the Service Quotas console, where you can request an increase.
+
+### Request a quota increase
+
+If your default quota is too low, you can request an increase.
+
+  1. In the Service Quotas console, choose the quota you want to increase.
+
+  2. If the quota is adjustable, choose **Request increase at account level**.
+
+  3. For **Increase quota value** , enter the new value. The new value must be greater than the current value.
+
+  4. Choose **Request**.
+
+  5. To view pending or recently resolved requests, choose the **Request history** tab.
+
+  6. For pending requests, choose the status to open the receipt. When the status changes to **Quota requested** , you see the AWS Support case number.
+
+
+
+
+For more information about Amazon SageMaker AI quotas, see [Amazon SageMaker AI endpoints and quotas](https://docs.aws.amazon.com//general/latest/gr/sagemaker.html) in the AWS General Reference. For more information about requesting a quota increase, see [Requesting a quota increase](https://docs.aws.amazon.com//servicequotas/latest/userguide/request-quota-increase.html) in the Service Quotas User Guide.
+