Reorganize

Author: MikeRayMSFT

docs/sql-server/what-s-new-in-sql-server-2022.md

@@ -54,8 +54,9 @@ SQL Server 2022 RC 0 (16.0.900.6) includes updates to the following features:
 - [Query Store](#query-store-and-intelligent-query-processing)
   - Degree of parallelism (DOP) feedback - improved comparison algorithm.
 - [Management](#management)
-  - Integrated acceleration
   - Snapshot backups
+- [Platform](#platform)
+  - Integrated acceleration & offloading
 - [Language](#language)
   - APPROX_PERCENTILE_DISC()
   - APPROX_PERCENTILE_CONT()
@@ -106,7 +107,6 @@ The following sections provide an overview of these features.
 |Ordered clustered columnstore index | Ordered clustered columnstore index (CCI) sorts the existing data in memory before the index builder compresses the data into index segments. This has the potential of more efficient segment elimination, resulting in better performance as the number of segments to read from disk is reduced. For more information, see [CREATE COLUMNSTORE INDEX (Transact-SQL)](../t-sql/statements/create-columnstore-index-transact-sql.md) and [What's new in columnstore indexes](../relational-databases/indexes/columnstore-indexes-what-s-new.md).</br></br>Also available in Synapse Analytics. See [Query performance](/azure/synapse-analytics/sql-data-warehouse/performance-tuning-ordered-cci#query-performance).|
 |Improved columnstore segment elimination | All columnstore indexes benefit from enhanced segment elimination by data type. Data type choices may have a significant impact on query performance based common filter predicates for queries on the columnstore index. This segment elimination applied to numeric, date, and time data types, and the datetimeoffset data type with scale less than or equal to two. Beginning in [!INCLUDE[sssql22-md](../includes/sssql22-md.md)], segment elimination capabilities extend to string, binary, guid data types, and the datetimeoffset data type for scale greater than two. |
 | In-memory OLTP management | Improve memory management in large memory servers to reduce out-of-memory conditions. |
-| Improved optimization | [!INCLUDE[sql-server-2022](../includes/sssql22-md.md)] leverages new hardware capabilities - including the Advanced Vector Extension (AVX) 512 extension to improve batch mode operations. |
 | Virtual log file growth | In previous versions of SQL Server, if the next growth is more than 1/8 of the current log size, and the growth is less than 64MB, four VLFs were created. In SQL Server 2022, this behavior is slightly different. Only one VLF is created if the growth is less than or equal to 64 MB and more than 1/8 of the current log size. For more information on VLF growth, see [Virtual Log Files (VLFs)](../relational-databases/sql-server-transaction-log-architecture-and-management-guide.md#virtual-log-files-vlfs).|
 
 ## Query Store and intelligent query processing
@@ -138,7 +138,13 @@ The [intelligent query processing (IQP)](../relational-databases/performance/int
 | XML compression |XML compression provides a method to compress off-row XML data for both XML columns and indexes, improving capacity requirements. For more information, see [CREATE TABLE &#40;Transact-SQL&#41;](../t-sql/statements/create-table-transact-sql.md) and [CREATE INDEX &#40;Transact-SQL&#41;](../t-sql/statements/create-index-transact-sql.md).|
 | Asynchronous auto update statistics concurrency|Avoid potential concurrency issues using asynchronous statistics update if you enable the ASYNC_STATS_UPDATE_WAIT_AT_LOW_PRIORITY [database-scoped configuration](../t-sql/statements/alter-database-scoped-configuration-transact-sql.md).|
 | Backup and restore to S3-compatible object storage | SQL Server 2022 extends the `BACKUP`/`RESTORE` `TO`/`FROM` `URL` syntax by adding support for a new S3 connector using the REST API. See [backup to URL](../relational-databases/backup-restore/sql-server-backup-to-url-s3-compatible-object-storage.md).|
-Integrated offloading & acceleration | [!INCLUDE[sql-server-2022](../includes/sssql22-md.md)] leverages acceleration technologies from partners such as Intel to provide extended capabilities. At release, Intel QuickAssist Technology (QAT) provides backup compression and hardware offloading. For more information, see [Integrated offloading & acceleration](../relational-databases/integrated-acceleration/overview.md). |
+
+## Platform
+
+| New feature or update | Details |
+|:---|:---|
+|Integrated offloading & acceleration | [!INCLUDE[sql-server-2022](../includes/sssql22-md.md)] leverages acceleration technologies from partners such as Intel to provide extended capabilities. At release, Intel QuickAssist Technology (QAT) provides backup compression and hardware offloading. For more information, see [Integrated offloading & acceleration](../relational-databases/integrated-acceleration/overview.md). |
+| Improved optimization | [!INCLUDE[sql-server-2022](../includes/sssql22-md.md)] leverages new hardware capabilities - including the Advanced Vector Extension (AVX) 512 extension to improve batch mode operations. |
 
 ## Language