SageMaker Python SDK
The SageMaker Python SDK discovers Amazon SageMaker JumpStart models. The SageMaker Python SDK deploys the huggingface-vlm-qwen3-5-27b model. A SageMaker AI endpoint is created in an AWS account A SageMaker AI endpoint can be defined with SageMaker Python SDK Amazon SageMaker JumpStart can be accessed programmatically through the SageMaker Python SDK Amazon SageMaker SDK v3 USES Amazon SageMaker Neo Amazon SageMaker SDK v3 IS_BASED_ON Amazon SageMaker Python SDK v3 Amazon SageMaker SDK v3 IS_BASED_ON Amazon SageMaker Python SDK v3 aws-samples GitHub repository HOSTS Amazon SageMaker SDK v3 Amazon SageMaker SDK v3 USES Amazon SageMaker Neo Amazon SageMaker SDK v3 IS_BASED_ON Amazon SageMaker Python SDK v3 Amazon SageMaker SDK v3 IS_BASED_ON Amazon SageMaker Python SDK v3 aws-samples GitHub repository HOSTS Amazon SageMaker SDK v3 The SageMaker Python SDK can be used to configure AWS Batch quota management, including quota shares and lending/borrowing strategies· Entity summary generated by Graphiti
Relation timeline
BY VALID-FROM DATE- SageMaker Python SDKCONFIGURESAWS Batch quota management
The SageMaker Python SDK can be used to configure AWS Batch quota management, including quota shares and lending/borrowing strategies
- SageMaker Python SDKIS BASED ONSageMaker Python SDK
Amazon SageMaker SDK v3 IS_BASED_ON Amazon SageMaker Python SDK v3
- AWS Deep Learning AMI for NeuronHOSTSSageMaker Python SDK
aws-samples GitHub repository HOSTS Amazon SageMaker SDK v3
- SageMaker Python SDKUSESAmazon SageMaker Neo
Amazon SageMaker SDK v3 USES Amazon SageMaker Neo
- SageMaker Python SDKUSESAmazon SageMaker Neo
Amazon SageMaker SDK v3 uses Amazon SageMaker Neo
- SageMaker Python SDKDEPLOYED WITHAWS Cloud Development Kit
Amazon SageMaker SDK v3 is deployed with AWS Cloud Development Kit
- SageMaker Python SDKIMPLEMENTED WITHPython
Amazon SageMaker SDK v3 is implemented with Python (programming language)
- SageMaker Python SDKUSESAmazon Step Functions
Amazon SageMaker SDK v3 uses Amazon Step Functions
- SageMaker Python SDKIMPLEMENTED WITHDocker
Amazon SageMaker SDK v3 is implemented with Docker
- Amazon SageMaker JumpStartACCESSIBLE FROMSageMaker Python SDK
Amazon SageMaker JumpStart can be accessed programmatically through the SageMaker Python SDK
- SageMaker AI endpointCREATED INSageMaker Python SDK
A SageMaker AI endpoint is created in an AWS account
- SageMaker AI endpointDEFINED WITHSageMaker Python SDK
A SageMaker AI endpoint can be defined with SageMaker Python SDK
- SageMaker Python SDKDEPLOYSAWS Command Line Interface
The SageMaker Python SDK deploys the huggingface-vlm-qwen3-5-27b model.
- SageMaker Python SDKDISCOVERSAmazon SageMaker JumpStart
The SageMaker Python SDK discovers Amazon SageMaker JumpStart models.
Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.
Events 4
- Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs1 cited report · 2026-10-30
- Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v31 cited report · 2026-10-27
- Amazon SageMaker JumpStart: 2026 year-to-date in review2 cited reports · 2026-10-20
- Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart1 cited report · 2026-10-16
Source reports 5
- Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobsAWS Machine Learning Blog · first-party · 2026-10-30
- Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3AWS Machine Learning Blog · first-party · 2026-10-27
- Amazon SageMaker JumpStart: 2026 year-to-date in reviewAWS Machine Learning Blog · first-party · 2026-10-20
- Meta’s Muse Spark Open now available in Amazon SageMaker JumpStartAWS Machine Learning Blog · first-party · 2026-10-16
- Deploy and evaluate models with Amazon SageMaker JumpStartAWS Machine Learning Blog · first-party · 2026-10-14