From 69521567666b02c2d17ac23c948456a8ad813cda Mon Sep 17 00:00:00 2001 From: Amrutha Date: Tue, 14 Apr 2026 17:46:40 -0400 Subject: [PATCH 1/3] Amrutha chages the message --- .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..5e6ff9c 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 model 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 model that require real time we recommend Azure Kubernetes Services (AKS) with GPU. 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 model 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 From c9b1ef28e29b3de934d2cbfe10b0bd6c64f05a76 Mon Sep 17 00:00:00 2001 From: Amrutha Date: Tue, 14 Apr 2026 18:13:00 -0400 Subject: [PATCH 2/3] my changes --- .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 5e6ff9c..61266d3 100644 --- a/.docs/python_scoring.md +++ b/.docs/python_scoring.md @@ -4,4 +4,4 @@

-When deploying ML model 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 model that require real time we recommend Azure Kubernetes Services (AKS) with GPU. 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 model 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 model 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 model that require real time we recommend Azure Kubernetes Services (AKS) with GPU. 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 model we recommend you use the same services but without GPUs. For a tutorial on deploying classical ML model 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 From fa9f17c5acd16715b14fdf3444f26c8dc5874ee0 Mon Sep 17 00:00:00 2001 From: Amrutha Date: Tue, 14 Apr 2026 18:21:39 -0400 Subject: [PATCH 3/3] my changes --- .docs/python_scoring.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.docs/python_scoring.md b/.docs/python_scoring.md index 61266d3..c4b6317 100644 --- a/.docs/python_scoring.md +++ b/.docs/python_scoring.md @@ -4,4 +4,7 @@

-When deploying ML model 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 model that require real time we recommend Azure Kubernetes Services (AKS) with GPU. 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 model we recommend you use the same services but without GPUs. For a tutorial on deploying classical ML model 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 model 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 model that require real time we recommend Azure Kubernetes Services (AKS) with GPU. 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 Pipeline w/GPU](https://github.com/Azure/Batch-Scoring-Deep-Learning-Model-With-AML). For non deep learning model we recommend you use the same services but without GPUs. For a tutorial on deploying classical ML model + + + 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