Forum Discussion
Azure ML in Power BI
Hi Asking
To use Azure Machine Learning (Azure ML) in Power BI Desktop, the following requirements must be met:
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The workspace must be assigned to a Premium or Fabric capacity.
A Premium Per User (PPU) license is not sufficient. -
The AI workload must be enabled in the Capacity settings within the Power BI Admin Portal, with memory allocation (e.g., 20%).
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An active Azure subscription is required, with access to an Azure Machine Learning workspace.
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The user must have appropriate permissions on the Azure ML workspace (e.g., Contributor or Owner).
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If the model performs computations, Azure usage will be billed based on compute and storage, and may require available Azure credits.
This configuration allows models in Azure ML to be called from within Power BI Desktop using AI Insights.
More information by the links:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-workspace?view=azureml-api-2https://azure.microsoft.com/en-us/pricing/details/machine-learning/
https://learn.microsoft.com/en-us/power-bi/enterprise/service-premium-per-user-faq
https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-ai-insights
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.
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HI Asking,
I would also take a moment to thank Ritaf1983 , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. If the response has addressed your query, please Accept it as a solution so that other community members can find it easily.
Thank you
Harshitha.
Community Support Team.
Hi Asking ,
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. If my response has addressed your query, please Accept it as a solution so that other community members can find it easily.
Thank you
Harshitha.
Community Support Team.