AWS sagemaker documentation change

Service: sagemaker · 2026-07-01 · Documentation low

File: sagemaker/latest/dg/distributed-troubleshooting-model-parallel.md

Summary

Removed SageMaker Python SDK v3 headers and legacy SDK v2 code examples for checkpoint configuration with model parallelism.

Security assessment

Purely structural updates removing obsolete SDK examples. No security-related content is added, removed, or referenced.

Diff

diff --git a/sagemaker/latest/dg/distributed-troubleshooting-model-parallel.md b/sagemaker/latest/dg/distributed-troubleshooting-model-parallel.md
index cd67607af..845aaf4a4 100644
--- a//sagemaker/latest/dg/distributed-troubleshooting-model-parallel.md
+++ b//sagemaker/latest/dg/distributed-troubleshooting-model-parallel.md
@@ -39,3 +38,0 @@ To fix this issue, disable Debugger by passing `debugger_hook_config=False` when
-SageMaker Python SDK v3
-    
-    
@@ -59,20 +55,0 @@ SageMaker Python SDK v3
-SageMaker Python SDK v2 (Legacy)
-    
-    
-    
-    bucket=sagemaker.Session().default_bucket()
-    base_job_name="sagemaker-checkpoint-test"
-    checkpoint_in_bucket="checkpoints"
-    
-    # The S3 URI to store the checkpoints
-    checkpoint_s3_bucket="s3://{}/{}/{}".format(bucket, base_job_name, checkpoint_in_bucket)
-    
-    estimator = TensorFlow(
-        ...
-    
-        distribution={"smdistributed": {"modelparallel": { "enabled": True }}},
-        checkpoint_s3_uri=checkpoint_s3_bucket,
-        checkpoint_local_path="/opt/ml/checkpoints",
-        debugger_hook_config=False
-    )
-