Your users might use AWS resources in amounts that exceed those specified by their quotas. If your users are resource constrained and encounter errors in SageMaker Canvas, you can request a quota increase for them.
For more details about SageMaker AI quotas and how to request a quota increase, see Quotas.
Amazon SageMaker Canvas uses the following services to process the requests of your users:
-
Amazon SageMaker Autopilot
-
Amazon SageMaker Studio Classic domain
For a list of the available quotas for SageMaker Canvas operations, see Amazon SageMaker AI endpoints and quotas.
Request an increase for
instances to build custom models
When building a custom model, if you encounter an error during post-building analysis
that tells you to increase your quota for ml.m5.2xlarge instances, use the
following information to resolve the issue.
You must increase the SageMaker AI Hosting endpoint quota for the ml.m5.2xlarge
instance type to a non-zero value in your AWS account. After building a model, SageMaker Canvas hosts
the model on a SageMaker AI Hosting endpoint and uses the endpoint to generate the post-building
analysis. If you don't increase the default account quota of 0 for
ml.m5.2xlarge instances, SageMaker Canvas cannot complete this step and generates an
error during post-building analysis.
For the procedure to increase the quota, see Requesting a quota increase in the Service Quotas User Guide.
