Merge pull request #267873 from midesa/main

updated warning

Author: prmerger-automator[bot]

articles/synapse-analytics/machine-learning/tutorial-horovod-pytorch.md

@@ -23,7 +23,7 @@ Within Azure Synapse Analytics, users can quickly get started with Horovod using
 > [!WARNING]
 > - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
 > - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of life (EOL) as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 
 ## Configure the Apache Spark session

articles/synapse-analytics/machine-learning/tutorial-horovod-tensorflow.md

@@ -21,8 +21,9 @@ Within Azure Synapse Analytics, users can quickly get started with Horovod using
 - Create a GPU-enabled Apache Spark pool in your Azure Synapse Analytics workspace. For details, see [Create a GPU-enabled Apache Spark pool in Azure Synapse](../spark/apache-spark-gpu-concept.md). For this tutorial, we suggest using the GPU-Large cluster size with 3 nodes.
 
 > [!WARNING]
-> - The GPU accelerated preview is only available on the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date, strongly advising users to transition to a higher runtime version for continued functionality and security.
+> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
+> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
+> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 
 ## Configure the Apache Spark session

articles/synapse-analytics/machine-learning/tutorial-load-data-petastorm.md

@@ -23,7 +23,7 @@ For more information about Petastorm, you can visit the [Petastorm GitHub page](
 > [!WARNING]
 > - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
 > - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of life (EOL) as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 
 ## Configure the Apache Spark session

articles/synapse-analytics/quickstart-create-apache-gpu-pool-portal.md

@@ -19,7 +19,7 @@ In this quickstart, you learn how to use the Azure portal to create an Apache Sp
 > [!WARNING]
 > - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](./spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](./spark/apache-spark-32-runtime.md) runtimes.
 > - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of life (EOL) as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 > [!NOTE]
 > Azure Synapse GPU-enabled pools are currently in Public Preview.

articles/synapse-analytics/spark/apache-spark-gpu-concept.md

@@ -18,7 +18,7 @@ By using NVIDIA GPUs, data scientists and engineers can reduce the time necessar
 > [!WARNING]
 > - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
 > - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of life (EOL) as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 > [!NOTE]
 > Azure Synapse GPU-enabled pools are currently in Public Preview.

articles/synapse-analytics/spark/apache-spark-rapids-gpu.md

@@ -26,7 +26,7 @@ spark.conf.set('spark.rapids.sql.enabled','true/false')
 > [!WARNING]
 > - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
 > - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of life (EOL) as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 ## RAPIDS Accelerator for Apache Spark