v3.17.0

SageMaker Python SDK v3.17.0

Modular release of the SageMaker Python SDK v3 (pip install sagemaker):
sagemaker-core 2.17.0 · sagemaker-train 1.17.0 · sagemaker-serve 1.17.0 ·
sagemaker-mlops 1.17.0 · sagemaker (meta) 3.17.0

sagemaker-core (2.17.0)

New Features

• Update SDK to use the latest LMI v27 image for SDK v3.x (#5976)

Bug Fixes

• Fix source_dir in FrameworkProcessor (#6047)

sagemaker-train (1.17.0)

Bug Fixes

• Correct Networking field names in ModelTrainer intelligent defaults (#6064)
• Resolve MTRL eval base-model ARN against the configured hub (#6040)
• Fall back to the public hub when the private hub lacks the base model (#6092)
• Fix datamixing recipe path (#6073)

Tests

• Doc update and added SFT integ test (#6018)
• Fix role issue in MTRL integ tests (#6070)
• Fix GPU integ test failure due to outdated MPG (#6097)

sagemaker-serve (1.17.0)

New Features

• Support fine-tuned models in the deployment-config API (#6041)

Bug Fixes

• Fix private hub (#6036)
• Support aliased hub content names in private hub deploys (#6039)
• Dedicated INFERENCE_RECOMMENDER telemetry feature + type workload param (#6028)
• Fix EULA check to rely on the HostingEulaUri field (#6077)

Tests

• Move two serve tests to gpu-integ-tests (#6096)

sagemaker-mlops (1.17.0)

New Features

• Wire BatchWriteRecord and ListRecords into ingest_dataframe (#6026)

Tests

• Isolate feature-processor pipeline names to fix flaky integ tests (#6095)

Cross-cutting (test infrastructure)

• Absorb iam:SimulatePrincipalPolicy throttling across suites (#6081)
• Let exhausted IAM throttling fail instead of skipping (#6094)

Full changelog:
v3.16.0...v3.17.0