Removing 30% limit to resize large volumes

Author: netapp-manishc

articles/azure-netapp-files/azure-netapp-files-resource-limits.md

@@ -33,7 +33,6 @@ The following table describes resource limits for Azure NetApp Files:
 |  Minimum size of a single regular volume    |    50 GiB    |    No    |
 |  Maximum size of a single regular volume     |    100 TiB    |    No    |
 |  Minimum size of a single [large volume](large-volumes-requirements-considerations.md) | 50 TiB | No |
-| Large volume size increase | 30% of lowest provisioned size | Yes |
 |  Maximum size of a single [large volume](large-volumes-requirements-considerations.md) | 1 PiB | Yes** |
 | Maximum size of a single large volume with breakthrough mode (preview) | 2,400 TiB | No |
 | Maximum size of a large volume up to 7.2 PiB** | 7.2 PiB | Yes** |

articles/azure-netapp-files/large-volumes-requirements-considerations.md

@@ -25,7 +25,7 @@ The following requirements and considerations apply to large volumes. For perfor
 * A regular volume can’t be converted to a large volume.
 * You must create a large volume at a size of 50 TiB or larger. The maximum size of a large volume is 1,024 TiB.
 * You can't resize a large volume to less than 50 TiB.
-    * A large volume can't be resized to more than 30% of its lowest provisioned size. This limit is adjustable via [a support request](azure-netapp-files-resource-limits.md#resource-limits). When requesting the resize, specify the desired size in TiB. 
+    * This limit is adjustable via [a support request](azure-netapp-files-resource-limits.md#resource-limits). When requesting the resize, specify the desired size in TiB. 
     * When reducing the size of a large volume, the size depends on the size of files written to the volume and the snapshots currently active on the volumes. 
 * You can't create a large volume with application volume groups.
 * Currently, large volumes aren't suited for database (HANA, Oracle, SQL Server, etc.) data and log volumes. For database workloads requiring more than a single volume’s throughput limit, consider deploying multiple regular volumes. To optimize multiple volume deployments for databases, use [application volume groups](application-volume-group-concept.md).