Merge pull request #258669 from Blackmist/patch-46

Update how-to-deploy-with-triton.md

Author: prmerger-automator[bot]

articles/machine-learning/how-to-deploy-with-triton.md

@@ -25,7 +25,7 @@ Triton is multi-framework, open-source software that is optimized for inference.
 In this article, you will learn how to deploy Triton and a model to a [managed online endpoint](concept-endpoints-online.md#online-endpoints). Information is provided on using the CLI (command line), Python SDK v2, and Azure Machine Learning studio. 
 
 > [!NOTE]
-> Use of the NVIDIA Triton Inference Server container is governed by the [NVIDIA AI Enterprise Software license agreement](https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/) and can be used for 90 days without an enterprise product subscription. For more information, see [https://www.nvidia.com/en-us/data-center/nvidia-ai-enterprise-on-azure-ml/](https://www.nvidia.com/en-us/data-center/nvidia-ai-enterprise-on-azure-ml/).
+> Use of the NVIDIA Triton Inference Server container is governed by the [NVIDIA AI Enterprise Software license agreement](https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/) and can be used for 90 days without an enterprise product subscription. For more information, see [NVIDIA AI Enterprise on Azure Machine Learning](https://www.nvidia.com/en-us/data-center/azure-ml).
 
 ## Prerequisites