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COMPANY · ENTITY #13881

JupyterLab

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2

COMPANIES · 1 SOURCE · AWS Machine Learning

Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio

AWS added UI support in SageMaker Studio to create and manage SageMaker Spaces on HyperPod EKS clusters, enabling data scientists to launch JupyterLab or Code Editor environments and start/stop Spaces without using the CLI. Administrators must install the SageMaker Spaces add-on on HyperPod clusters, attach required IAM policies, and enable per-user identity propagation for Studio domains.

6.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon SageMaker launches aws-ai-ml agent skill for inference optimization

Amazon introduced the aws-ai-ml skill available through the Agent Toolkit for AWS, which plugs into MCP‑compatible coding agents (e.g., Kiro, Claude Code, Codex) to benchmark SageMaker endpoints, recommend deployment configurations, compare performance runs, and generate executable SageMaker Python SDK v3 code. The skill can be used locally via the Agent Toolkit or inside Amazon SageMaker Studio JupyterLab and requires AWS credentials with SageMaker API permissions.

6.0