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Merge pull request #294164 from bandersmsft/fabric-capacity
MCM - Update fabric-capacity for UUF 367747
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articles/cost-management-billing/reservations/fabric-capacity.md

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ms.service: cost-management-billing
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ms.subservice: reservations
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ms.topic: conceptual
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ms.date: 12/06/2024
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ms.date: 02/05/2024
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ms.author: banders
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ms.custom: ignite-2023
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---
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You can save money with Fabric capacity reservation by committing to a reservation for your Fabric capacity usage for a duration of one year. This article explains how you can save money with Fabric capacity reservations.
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To purchase a Fabric capacity reservation, you choose an Azure region, size, and then add the Fabric capacity SKU to your cart. Then you choose the quantity of capacity units (CUs) that you want to purchase.
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To purchase a Fabric capacity reservation, you choose an Azure region, billing frequency, and the quantity of capacity units (CUs) that you want to purchase. Then you add the Fabric capacity reservation to your cart.
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When you purchase a reservation, the Fabric capacity usage that matches the reservation attributes is no longer charged at the pay-as-you-go rates.
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- **Example 2** - A reservation that's larger than your used capacity. For example, you buy 64 CUs of capacity and you only deploy an F32. In this example, the reservation discount is applied to the F32. For the remaining 32 CUs of unused reservation capacity, if you don't have matching resources for any hour. You lose the reservation quantity for that hour. You can't carry forward unused reserved hours.
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- **Example 3** - A reservation that's smaller than the used capacity. For example, you buy 64 CUs of capacity and you deploy an F128. In this example, your discount is applied to 64 CUs that were used. For the remaining 64 CUs, you pay the pay-as-you-go rate.
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- **Example 4** - A reservation that's the same size as two used capacities that equal the size of the reservation. For example, you buy 64 CUs of capacity and you deploy two F32s. In this example, the discount is applied to all used capacity.
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- **Example 5** - This example explains the relationship between smoothing and reservations. Smoothing is a feature of Fabric and allows spikes in usage to be spread out over time. Smoothing spreads background process like Spark jobs and sematic model refreshes over a 24-hour interval. Interactive process like Power BI reports, KQL and SQL queries are spread out of a 10 minute interval. See the detailed explanation here: [Smoothing](https://support.fabric.microsoft.com/blog/fabric-capacities-everything-you-need-to-know-about-whats-new-and-whats-coming)
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For example, You purchase a Fabric capacity reservation of two CUs, and assume that your usage spikes to 4 CUs for an hour. The processes will run and consume 4 CUs, however, the CU usage is spread out of the 24 hours. This feature allows you to purchase for average workload rather than the peak. Please review the link provided to understand the impact of smoothing if you use more CU that available over 24 hours.
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- **Example 5** - This example explains the relationship between smoothing and reservations. Smoothing is a feature of Fabric and allows spikes in usage to be spread out over time. Smoothing spreads background process like Spark jobs and semantic model refreshes over a 24-hour interval. Interactive process like Power BI reports, KQL, and SQL queries are spread out of a 10-minute interval. For more information, see the detailed explanation at [Smoothing](https://support.fabric.microsoft.com/blog/fabric-capacities-everything-you-need-to-know-about-whats-new-and-whats-coming).
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For example, You purchase a Fabric capacity reservation of two CUs, and assume that your usage spikes to 4 CUs for an hour. The process runs and consumes 4 CUs, however, the CU usage is spread out of the 24 hours. This feature allows you to purchase for average workload rather than the peak. Review the link provided to understand the effect of smoothing if you use more CU that available over 24 hours.
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## Increase the size of a Fabric Capacity reservation
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