minimum F capacity for embedding

[powerbiexpert22]

What is the minimum FCapacity license (example F2, F3 , F64 etc) required for embedding Power BI reports with angualar portal?

[burakkaragoz · Accepted solution]

Hi @powerbiexpert22 ,

For embedding scenarios, the minimum F SKU you can use is F1, but keep in mind it's super limited — mainly good for testing or very light usage. For anything production-level, you'd probably want to start with F2 or higher, depending on how many users and how heavy the reports are.

Also, make sure you're using the right capacity region and that your workspace is assigned to that capacity.

Hope that helps!

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If my response resolved your query, kindly mark it as the Accepted Solution to assist others. Additionally, I would be grateful for a 'Kudos' if you found my response helpful.
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[v-tsaipranay]

Hi @powerbiexpert22  ,

May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.

Thank you.

[v-tsaipranay]

Hi @powerbiexpert22  ,

May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.

Thank you.

[v-tsaipranay · Accepted solution]

Hi @powerbiexpert22 ,

Thank you for reaching out to the Microsoft Fabric community forum. Also, thanks to @burakkaragoz  and @pankajnamekar25  for the response.

The minimum Azure-based F SKU required to embed Power BI reports including into an Angular portal is F1 capacity. This SKU provides 1 vCore and is available only through the Azure portal, not via the Microsoft 365 admin center.

While F1 technically supports embedding scenarios, it is primarily designed for development or very light testing purposes. Its limited resources make it unsuitable for production environments where multiple concurrent users, larger datasets, or complex visuals are involved.

For production-grade deployments, it is strongly recommended to start with F2 or higher, depending on your workload requirements such as report complexity, concurrent user load, and refresh frequency.

Additionally, ensure that your Power BI workspace is correctly assigned to the chosen Azure capacity and that the capacity is provisioned in a region that aligns with your embedding environment to minimize latency.

You can also refer to Microsoft’s Power BI Embedded capacity documentation for further details.

Hope this helps. Please reach out for further assistance.

If this post helps, then please consider to Accept as the solution to help the other members find it more quickly and a kudos would be appreciated.

Thank you.

[v-tsaipranay]

Hi @powerbiexpert22 ,

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 and give a 'Kudos' so other members can easily find it.

Thank you.

[burakkaragoz · Accepted solution]

Hi @powerbiexpert22 ,

For embedding scenarios, the minimum F SKU you can use is F1, but keep in mind it's super limited — mainly good for testing or very light usage. For anything production-level, you'd probably want to start with F2 or higher, depending on how many users and how heavy the reports are.

Also, make sure you're using the right capacity region and that your workspace is assigned to that capacity.

Hope that helps!

---

If my response resolved your query, kindly mark it as the Accepted Solution to assist others. Additionally, I would be grateful for a 'Kudos' if you found my response helpful.
translation and formatting supported by AI

[pankajnamekar25]

The minimum supported capacity SKU

 F1 capacity (1 vCore, ~$75/month

1 SKU is available only through Azure, not from the Microsoft 365 admin portal.

Thanks,
 Pankaj Namekar | LinkedIn

If this solution helps, please accept it and give a kudos (Like), it would be greatly appreciated.