This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
We have a couple of semantic models with high concurrent use and hourly refreshes, some of our users are complaining about Power BI service being "slow". We have noticed that in some cases this happens while the refresh is going on. We are analyzing the option of enabling scale-out on these semantic models and I was wondering if you have any experience using this feature that you could share. I know that this feature has been GA since November 2023, and that increases our confidence in it, however, it would be great to hear about your experiences.
Thank you in advance!
Hi @carloscantu ,
Based on the description, semantic model scale-out uses your Premium capacity to host one or more read-only replicas of your primary semantic model.
By increasing throughput, the read-only replicas ensure performance doesn’t slow down when multiple users submit queries at the same time.
You can also view the following documents to learn more information.
Power BI semantic model scale-out - Power BI | Microsoft Learn
Configure Power BI semantic model scale-out - Power BI | Microsoft Learn
Best Regards,
Wisdom Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous
Thank you for sharing the documentation, however, my question intent is to understand if anyone has implemented it and what have been the results.
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 14 | |
| 10 | |
| 9 | |
| 7 | |
| 6 |
| User | Count |
|---|---|
| 34 | |
| 28 | |
| 26 | |
| 19 | |
| 16 |