gpu update

Author: midesa

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

@@ -4,7 +4,7 @@ description: Tutorial on how to run distributed training with the Horovod Estima
 ms.service: synapse-analytics 
 ms.subservice: machine-learning
 ms.topic: tutorial
-ms.date: 02/27/2024
+ms.date: 05/02/2024
 author: midesa
 ms.author: midesa
 ---
@@ -21,9 +21,8 @@ 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 limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support 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 support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced 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.
+> - The GPU accelerated preview is limited to the [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtime. End of Support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of Support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime and the corresponding GPU accelerated preview on Spark 3.2 will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is now unsupported on the [Azure Synapse 3.1 (unsupported) runtime](../spark/apache-spark-3-runtime.md). Azure Synapse Runtime for Apache Spark 3.1 has reached its End of Support 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.
 
 
 ## Configure the Apache Spark session

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

@@ -4,7 +4,7 @@ description: Tutorial on how to run distributed training with the Horovod Runner
 ms.service: synapse-analytics 
 ms.subservice: machine-learning
 ms.topic: tutorial
-ms.date: 04/19/2022
+ms.date: 05/02/2024
 author: midesa
 ms.author: midesa
 ---
@@ -21,9 +21,8 @@ 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 limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support 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 support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced 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.
+> - The GPU accelerated preview is limited to the [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtime. End of Support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of Support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime and the corresponding GPU accelerated preview on Spark 3.2 will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is now unsupported on the [Azure Synapse 3.1 (unsupported) runtime](../spark/apache-spark-3-runtime.md). Azure Synapse Runtime for Apache Spark 3.1 has reached its End of Support 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.
 
 
 ## Configure the Apache Spark session

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

@@ -5,7 +5,7 @@ author: midesa
 ms.service: synapse-analytics
 ms.topic: conceptual
 ms.subservice: machine-learning
-ms.date: 02/27/2024
+ms.date: 05/02/2024
 ms.author: midesa
 ---
 
@@ -21,9 +21,8 @@ For more information about Petastorm, you can visit the [Petastorm GitHub page](
 - 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 limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support 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 support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced 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.
+> - The GPU accelerated preview is limited to the [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtime. End of Support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of Support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime and the corresponding GPU accelerated preview on Spark 3.2 will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is now unsupported on the [Azure Synapse 3.1 (unsupported) runtime](../spark/apache-spark-3-runtime.md). Azure Synapse Runtime for Apache Spark 3.1 has reached its End of Support 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.
 
 
 ## Configure the Apache Spark session

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

@@ -1,6 +1,6 @@
 ---
-title: 'Tutorial: Train a model in Python with automated machine learning'
-description: Tutorial on how to train a machine learning model in Python by using Apache Spark and automated machine learning.
+title: 'Tutorial: Train a model in Python with automated machine learning (deprecated)'
+description: Tutorial on how to train a machine learning model in Python by using Apache Spark and automated machine learning (deprecated).
 author: midesa
 ms.service: synapse-analytics
 ms.topic: tutorial
@@ -10,7 +10,7 @@ ms.date: 03/06/2024
 ms.author: midesa
 ---
 
-# Tutorial: Train a model in Python with automated machine learning
+# Tutorial: Train a model in Python with automated machine learning (deprecated)
 
 Azure Machine Learning is a cloud-based environment that allows you to train, deploy, automate, manage, and track machine learning models. 
 
@@ -24,7 +24,7 @@ In this tutorial, you learn how to:
 
 ## Before you begin
 
-- Create a serverless Apache Spark pool by following the [Create a serverless Apache Spark pool](../quickstart-create-apache-spark-pool-studio.md) quickstart.
+- Create a serverless Apache Spark 2.4 pool by following the [Create a serverless Apache Spark pool](../quickstart-create-apache-spark-pool-studio.md) quickstart.
 - Complete the [Azure Machine Learning workspace setup](../../machine-learning/quickstart-create-resources.md) tutorial if you don't have an existing Azure Machine Learning workspace. 
 
 > [!WARNING]

articles/synapse-analytics/spark/apache-spark-azure-machine-learning-tutorial.md

@@ -5,7 +5,7 @@ author: midesa
 ms.service: synapse-analytics
 ms.topic: overview
 ms.subservice: spark
-ms.date: 02/27/2024
+ms.date: 05/02/2024
 ms.author: midesa
 ---
 
@@ -16,9 +16,9 @@ Azure Synapse Analytics now supports Apache Spark pools accelerated with graphic
 By using NVIDIA GPUs, data scientists and engineers can reduce the time necessary to run data integration pipelines, score machine learning models, and more. This article describes how GPU-accelerated pools can be created and used with Azure Synapse Analytics. This article also details the GPU drivers and libraries that are pre-installed as part of the GPU-accelerated runtime.
 
 > [!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 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its End of Support 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 Support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of Support announced 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.
+> - The GPU accelerated preview is limited to the [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtime. End of Support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of Support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime and the corresponding GPU accelerated preview on Spark 3.2 will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is now unsupported on the [Azure Synapse 3.1 (unsupported) runtime](../spark/apache-spark-3-runtime.md). Azure Synapse Runtime for Apache Spark 3.1 has reached its End of Support 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.
+
 
 > [!NOTE]
 > Azure Synapse GPU-enabled pools are currently in Public Preview.