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Amazon SageMaker HyperPod now offers troubleshooting skills for AI coding assistants
Amazon SageMaker HyperPod Update
Amazon SageMaker HyperPod now offers troubleshooting skills that integrate expert-level AI/ML cluster diagnostics into AI coding assistants like Claude Code, Cursor, and Kiro. These skills provide a resilient and performant environment for developing, training, and deploying foundation models at scale, with built-in fault tolerance and automated cluster recovery.
The new HyperPod troubleshooting skills help diagnose and resolve cluster issues through natural language, covering cluster health validation, hardware and communication diagnostics, software version drifts, and automated diagnostic reporting. These skills encode AWS best practices into structured diagnostic workflows, guiding AI agents to collect evidence from cluster nodes via AWS Systems Manager, analyze patterns, and provide actionable recommendations.
What to do
- Visit the AWSLabs GitHub repository to install the
sagemaker-aiplugin in your preferred coding assistant.
Source: AWS release notes
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