AWS Clean Rooms ML endpoints and quotas - AWS General Reference
Service endpointsService quotas

AWS Clean Rooms ML endpoints and quotas

To connect programmatically to an AWS service, you use an endpoint. AWS services offer the following endpoint types in some or all of the AWS Regions that the service supports: IPv4 endpoints, dual-stack endpoints, and FIPS endpoints. Some services provide global endpoints. For more information, see AWS service endpoints.

Service quotas, also referred to as limits, are the maximum number of service resources or operations for your AWS account. For more information, see AWS service quotas.

The following are the service endpoints and service quotas for this service.

Service endpoints

Region Name Region Endpoint Protocol
US East (Ohio) us-east-2

cleanrooms-ml.us-east-2.amazonaws.com

cleanrooms-ml.us-east-2.api.aws

HTTPS
US East (N. Virginia) us-east-1

cleanrooms-ml.us-east-1.amazonaws.com

cleanrooms-ml.us-east-1.api.aws

HTTPS
US West (Oregon) us-west-2

cleanrooms-ml.us-west-2.amazonaws.com

cleanrooms-ml.us-west-2.api.aws

HTTPS
Asia Pacific (Seoul) ap-northeast-2

cleanrooms-ml.ap-northeast-2.amazonaws.com

cleanrooms-ml.ap-northeast-2.api.aws

HTTPS
Asia Pacific (Singapore) ap-southeast-1

cleanrooms-ml.ap-southeast-1.amazonaws.com

cleanrooms-ml.ap-southeast-1.api.aws

HTTPS
Asia Pacific (Sydney) ap-southeast-2

cleanrooms-ml.ap-southeast-2.amazonaws.com

cleanrooms-ml.ap-southeast-2.api.aws

HTTPS
Asia Pacific (Tokyo) ap-northeast-1

cleanrooms-ml.ap-northeast-1.amazonaws.com

cleanrooms-ml.ap-northeast-1.api.aws

HTTPS
Europe (Frankfurt) eu-central-1

cleanrooms-ml.eu-central-1.amazonaws.com

cleanrooms-ml.eu-central-1.api.aws

HTTPS
Europe (Ireland) eu-west-1

cleanrooms-ml.eu-west-1.amazonaws.com

cleanrooms-ml.eu-west-1.api.aws

HTTPS
Europe (London) eu-west-2

cleanrooms-ml.eu-west-2.amazonaws.com

cleanrooms-ml.eu-west-2.api.aws

HTTPS
Europe (Stockholm) eu-north-1

cleanrooms-ml.eu-north-1.amazonaws.com

cleanrooms-ml.eu-north-1.api.aws

HTTPS

Service quotas

Name Default Adjustable Description
Active audience export jobs per audience generation job Each supported Region: 25 No The maximum number of active audience export jobs for an audience generation job
Active configured model algorithm associations per membership Each supported Region: 1,000 Yes The maximum number of active configured model algorithm associations per membership
Active configured model algorithms per membership Each supported Region: 1,000 Yes The maximum number of active configured model algorithms per membership
Active custom model input channels per membership Each supported Region: 100 Yes The maximum number of active custom model input channels per membership
Maximum number of active training instances per account Each supported Region: 10 Yes The maximum number of active training instances that can be used per account for creating trained models.
Maximum number of active/pending/in progress trained model versions per trained model Each supported Region: 100 Yes The maximum number of active/pending/in progress trained model versions that can be created per trained model.
Maximum number of ml.c4.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c4.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c4.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c4.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c4.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c4.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c4.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c4.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5.18xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5.18xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5.9xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5.9xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5n.18xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5n.18xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5n.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5n.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5n.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5n.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5n.9xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5n.9xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c5n.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c5n.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.12xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.32xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.32xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.c6i.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.c6i.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g4dn.12xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g4dn.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g4dn.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g4dn.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g4dn.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g4dn.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g4dn.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g4dn.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g4dn.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g4dn.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g4dn.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g4dn.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.12xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.48xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.48xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.g5.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.g5.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m4.10xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m4.10xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m4.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m4.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m4.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m4.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m4.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m4.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m4.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m4.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m5.12xlarge training instances per account Each supported Region: 3 Yes The maximum number of ml.m5.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m5.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m5.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m5.2xlarge training instances per account Each supported Region: 3 Yes The maximum number of ml.m5.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m5.4xlarge training instances per account Each supported Region: 3 Yes The maximum number of ml.m5.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m5.large training instances per account Each supported Region: 0 Yes The maximum number of ml.m5.large training instances that can be used per account for creating trained models.
Maximum number of ml.m5.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m5.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.12xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.32xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.32xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.large training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.large training instances that can be used per account for creating trained models.
Maximum number of ml.m6i.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.m6i.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p2.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p2.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p2.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p2.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p2.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p2.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p3.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p3.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p3.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p3.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p3.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p3.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p3dn.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p3dn.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p4d.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p4d.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p4de.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p4de.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.p5.48xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.p5.48xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.12xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5.large training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.large training instances that can be used per account for creating trained models.
Maximum number of ml.r5.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.12xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.12xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.16xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.16xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.24xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.24xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.4xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.4xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.8xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.8xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.large training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.large training instances that can be used per account for creating trained models.
Maximum number of ml.r5d.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.r5d.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.t3.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.t3.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.t3.large training instances per account Each supported Region: 0 Yes The maximum number of ml.t3.large training instances that can be used per account for creating trained models.
Maximum number of ml.t3.medium training instances per account Each supported Region: 0 Yes The maximum number of ml.t3.medium training instances that can be used per account for creating trained models.
Maximum number of ml.t3.xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.t3.xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.trn1.2xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.trn1.2xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.trn1.32xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.trn1.32xlarge training instances that can be used per account for creating trained models.
Maximum number of ml.trn1n.32xlarge training instances per account Each supported Region: 0 Yes The maximum number of ml.trn1n.32xlarge training instances that can be used per account for creating trained models.
Pending/In-progress audience export jobs per customer Each supported Region: 20 No The maximum number of pending/in-progress audience export jobs per customer
Pending/In-progress audience generation jobs per customer Each supported Region: 10 Yes The maximum number of pending/in-progress audience generation jobs per customer
Pending/In-progress audience models per customer Each supported Region: 2 Yes The maximum number of pending/in-progress audience model training jobs per customer
Pending/In-progress custom model inference jobs per account Each supported Region: 10 Yes The maximum number of pending/in-progress custom model inference jobs per account
Pending/In-progress custom model inference jobs per membership Each supported Region: 5 Yes The maximum number of pending/in-progress custom model inference jobs per membership
Pending/In-progress custom model training jobs per account Each supported Region: 10 Yes The maximum number of pending/in-progress custom model training jobs per account
Pending/In-progress custom model training jobs per membership Each supported Region: 5 Yes The maximum number of pending/in-progress custom model training jobs per membership

For more information, see AWS Clean Rooms ML quotas in the AWS Clean Rooms ML User Guide.