AWS sagemaker documentation change

Service: sagemaker · 2026-06-28 · Documentation low

File: sagemaker/latest/dg/model-train-storage-uncompressed.md

Summary

Added new code examples for SageMaker Python SDK v3 showing uncompressed output configuration

Security assessment

Added examples demonstrate output compression configuration without any security context. No security vulnerabilities, access controls, or encryption features are discussed.

Diff

diff --git a/sagemaker/latest/dg/model-train-storage-uncompressed.md b/sagemaker/latest/dg/model-train-storage-uncompressed.md
index 1473ee531..8e4d7ae21 100644
--- a//sagemaker/latest/dg/model-train-storage-uncompressed.md
+++ b//sagemaker/latest/dg/model-train-storage-uncompressed.md
@@ -27,0 +28,22 @@ The following code example shows you how to create a training job in uncompresse
+SageMaker Python SDK v3
+    
+    
+    
+    from sagemaker.train import ModelTrainer
+    from sagemaker.train.configs import Compute
+    from sagemaker.core.helper.session_helper import Session, get_execution_role
+    from sagemaker.core.shapes import OutputDataConfig
+    
+    model_trainer = ModelTrainer(
+        training_image="your-own-image-uri",
+        role=get_execution_role(),
+        compute=Compute(
+            instance_count=1,
+            instance_type='ml.c4.xlarge',
+        ),
+        output_data_config=OutputDataConfig(compression_type="NONE")
+    )
+
+SageMaker Python SDK v2 (Legacy)
+    
+