Amazon Machine Learning 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 (N. Virginia) | us-east-1 | machinelearning.us-east-1.amazonaws.com | HTTPS |
| Europe (Ireland) | eu-west-1 | machinelearning.eu-west-1.amazonaws.com | HTTPS |
Service quotas
| Name | Default | Adjustable | Description |
|---|---|---|---|
| Batch prediction input records | Each supported Region: 100,000,000 |
Yes |
The maximum number of records of batch prediction input. |
| Batch prediction input size | Each supported Region: 1 Terabytes |
Yes |
The maximum size (in TB) of batch prediction input. |
| Classes for multiclass ML models | Each supported Region: 100 |
Yes |
The maximum number of classes for multiclass ML models. |
| Job runtime | Each supported Region: 7 | No | The maximum runtime length (in days) for any job. |
| ML model size | Each supported Region: 2 Gigabytes | No | The maximum ML model size (in GB). |
| Observation size | Each supported Region: 100 Kilobytes |
Yes |
The maximum size (in KB) of each observation. |
| Rate of real-time prediction requests per endpoint | Each supported Region: 200 |
Yes |
The maximum number of requests per second that you can perform with each real-time prediction endpoint. |
| Recipe complexity | Each supported Region: 10,000 |
Yes |
The maximum recipe complexity (number of processed output variables). |
| Simultaneous jobs | Each supported Region: 25 |
Yes |
The maximum number of simultaneous jobs. |
| Tags per object | Each supported Region: 50 | No | The maximum number of tags per object. |
| Total RAM for all real-time prediction endpoints | Each supported Region: 10 Gigabytes |
Yes |
The maximum total RAM (in GB) for all real-time prediction endpoints. |
| Total rate of all real-time prediction requests | Each supported Region: 10,000 |
Yes |
The maximum total number of requests per second that you can perform with all of your real-time prediction endpoints. |
| Training data size | Each supported Region: 100 Gigabytes |
Yes |
The maximum size (in GB) of training data. |
| Variables per data file | Each supported Region: 1,000 |
Yes |
The maximum number of variables in a data file (schema). |
For more information, see Amazon ML Quotas in the Amazon Machine Learning Developer Guide.
