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resource-limits-quotas-capacity.md

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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

Service limits in Azure Machine Learning

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.

Workspaces

Limit Value
Workspace name 2-32 characters

Runs

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

Metrics

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.

Artifacts

Limit Value
Number of artifacts per run 10 million
Max length of artifact path 5,000 characters

Limit increases

Some limits can be increased for individual workspaces by contacting support.

Next steps