acrolinx issues

Author: midesa

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

@@ -25,7 +25,7 @@ By using NVIDIA GPUs, data scientists and engineers can reduce the time necessar
 
 ## Create a GPU-accelerated pool
 
-To simplify the process for creating and managing pools, Azure Synapse takes care of pre-installing low-level libraries and setting up all the complex networking requirements between compute nodes. This integration allows users to get started with GPU- accelerated pools within just a few minutes. To learn more about how to create a GPU-accelerated pool, you can visit the quickstart on how to [create a GPU-accelerated pool](../quickstart-create-apache-gpu-pool-portal.md).
+To simplify the process for creating and managing pools, Azure Synapse takes care of pre-installing low-level libraries and setting up all the complex networking requirements between compute nodes. This integration allows users to get started with GPU- accelerated pools within just a few minutes. 
 
 > [!NOTE]
 >  - GPU-accelerated pools can be created in workspaces located in East US, Australia East, and North Europe.
@@ -52,8 +52,8 @@ When you select a GPU-accelerated Hardware option in Synapse Spark, you implicit
   - CUDA 11.2: [EULA :: CUDA Toolkit Documentation (nvidia.com)](https://docs.nvidia.com/cuda/eula/index.html)
   - libnccl2=2.8.4: [nccl/LICENSE.txt at master · NVIDIA/nccl (github.com)](https://github.com/NVIDIA/nccl/blob/master/LICENSE.txt)
   - libnccl-dev=2.8.4: [nccl/LICENSE.txt at master · NVIDIA/nccl (github.com)](https://github.com/NVIDIA/nccl/blob/master/LICENSE.txt)
-  - libcudnn8=8.1.1: [Software License Agreement :: NVIDIA Deep Learning cuDNN Documentation](https://docs.nvidia.com/deeplearning/cudnn/sla/index.html)
-  - libcudnn8-dev=8.1.1: [Software License Agreement :: NVIDIA Deep Learning cuDNN Documentation](https://docs.nvidia.com/deeplearning/cudnn/sla/index.html)
+  - libcudnn8=8.1.1: [Software License Agreement :: NVIDIA Deep Learning cuDNN Documentation](https://docs.nvidia.com/deeplearning/cudnn/latest/reference/eula.html)
+  - libcudnn8-dev=8.1.1: [Software License Agreement :: NVIDIA Deep Learning cuDNN Documentation](https://docs.nvidia.com/deeplearning/cudnn/latest/reference/eula.html)
   - The CUDA, NCCL, and cuDNN libraries, and the [NVIDIA End User License Agreement (with NCCL Supplement)](https://docs.nvidia.com/deeplearning/nccl/sla/index.html#overview) for the NCCL library
 
 ## Accelerate ETL workloads

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

@@ -1,12 +1,12 @@
 ---
 title: Apache Spark on GPU
 description: Introduction to core concepts for Apache Spark on GPUs inside Synapse Analytics.
-author: Niharikadutta
+author: midesa
 ms.service: synapse-analytics
 ms.topic: overview
 ms.subservice: spark
-ms.date: 02/27/2024
-ms.author: nidutta
+ms.date: 05/02/2024
+ms.author: midesa
 ---
 
 # Apache Spark GPU-accelerated pools in Azure Synapse Analytics (preview)
@@ -24,9 +24,8 @@ spark.conf.set('spark.rapids.sql.enabled','true/false')
 > Azure Synapse GPU-enabled pools are currently in Public Preview.
 
 > [!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.
 
 ## RAPIDS Accelerator for Apache Spark
 

articles/synapse-analytics/toc.yml

@@ -694,8 +694,6 @@ items:
       href: quickstart-create-apache-spark-pool-portal.md
     - name: Create a Spark pool using Synapse Studio
       href: quickstart-create-apache-spark-pool-studio.md
-    - name: Create a GPU-accelerated Apache Spark pool
-      href: quickstart-create-apache-gpu-pool-portal.md
   - name: Tutorials
     items:
     - name: Data visualization with Synapse Studio notebooks