title | titleSuffix | description | services | author | ms.author | ms.reviewer | ms.topic | ms.service | ms.subservice | ms.date |
---|---|---|---|---|---|---|---|---|---|---|
Service limits |
Azure Machine Learning |
Service limits used for capacity planning and maximum limits on requests and responses for Azure Machine Learning. |
machine-learning |
andscho |
andscho |
mldocs |
reference |
machine-learning |
core |
12/21/2020 |
This section lists basic quotas and throttling thresholds in Azure Machine Learning.
To learn how increase resource quotas, see "Manage and increase quotas for resources"
Important
Azure Machine Learning doesn't store or process your data outside of the region where you deploy.
Limit | Value |
---|---|
Workspace name | 2-32 characters |
Limit | Value |
---|---|
Runs per workspace | 10 million |
RunId/ParentRunId | 256 characters |
DataContainerId | 261 characters |
DisplayName | 256 characters |
Description | 5,000 characters |
Number of properties | 50 |
Length of property key | 100 characters |
Length of property value | 1,000 characters |
Number of tags | 50 |
Length of tag key | 100 |
Length of tag value | 1,000 characters |
CancelUri / CompleteUri / DiagnosticsUri | 1,000 characters |
Error message length | 3,000 characters |
Warning message length | 300 characters |
Number of input datasets | 200 |
Number of output datasets | 20 |
Limit | Value |
---|---|
Metric names per run | 50 |
Metric rows per metric name | 10 million |
Columns per metric row | 15 |
Metric column name length | 255 characters |
Metric column value length | 255 characters |
Metric rows per batch uploaded | 250 |
Note
If you are hitting the limit of metric names per run because you are formatting variables into the metric name, consider instead to use a row metric where one column is the variable value and the second column is the metric value.
Limit | Value |
---|---|
Number of artifacts per run | 10 million |
Max length of artifact path | 5,000 characters |
Some limits can be increased for individual workspaces by contacting support.
- Configure your Azure Machine Learning environment
- Learn how increase resource quotas in "Manage and increase quotas for resources".