From b1d48cb11ab314721a3b01bdc2c7f79b891b491e Mon Sep 17 00:00:00 2001 From: Andre Miranda Date: Wed, 9 Oct 2024 08:59:56 -0400 Subject: [PATCH] Update python_scoring.md some updates to help add clarity :D --- .docs/python_scoring.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.docs/python_scoring.md b/.docs/python_scoring.md index 6c29cde..39603c2 100644 --- a/.docs/python_scoring.md +++ b/.docs/python_scoring.md @@ -4,4 +4,4 @@

-When deploying ML models in Python there are two core questions. The first is will it be real time and whether the model is a deep learning model. For deploying deep learning models that require real time we recommend Azure Kubernetes Services (AKS) with GPUs. For a tutorial on how to do that look at [AKS w/GPU](https://github.com/Microsoft/AKSDeploymentTutorialAML). For deploying deep learning models for batch scoring we recommend using AzureML pipelines with GPUs, for a tutorial on how to do that look [AzureML Pipelines w/GPU](https://github.com/Azure/Batch-Scoring-Deep-Learning-Models-With-AML). For non deep learning models we recommend you use the same services but without GPUs. For a tutorial on deploying classical ML models for real time scoring look [AKS](https://github.com/Microsoft/MLAKSDeployAML) and for batch scoring [AzureML Pipelines](https://github.com/Microsoft/AMLBatchScoringPipeline) \ No newline at end of file +When deploying ML models in Python there are two core questions. The first question is will it be real time and the second is whether the model is a deep learning model. For deploying deep learning models that require real time we recommend Azure Kubernetes Services (AKS) with GPUs. For a tutorial on how to do that look at [AKS w/GPU](https://github.com/Microsoft/AKSDeploymentTutorialAML). For deploying deep learning models for batch scoring we recommend using AzureML pipelines with GPUs, for a tutorial on how to do that look [AzureML Pipelines w/GPU](https://github.com/Azure/Batch-Scoring-Deep-Learning-Models-With-AML). For non deep learning models we recommend you use the same services but without GPUs. For a tutorial on deploying classical ML models for real time scoring look [AKS](https://github.com/Microsoft/MLAKSDeployAML) and for batch scoring [AzureML Pipelines](https://github.com/Microsoft/AMLBatchScoringPipeline)