Manage Amazon SageMaker HyperPod clusters with the new Amazon SageMaker AI MCP Server

Amazon SageMaker AI MCP Server Updates
The Amazon SageMaker AI MCP Server now supports tools to setup and manage HyperPod clusters, streamlining model development tasks such as training, fine-tuning, or deployment across AI accelerators. This enhancement empowers AI coding assistants to provision and operate AI/ML clusters for model training and deployment.
Key Features
- Enhanced AI-assisted application development with a standard interface for AI code assistants.
- Tools for end-to-end AI/ML cluster operations, from initial setup to ongoing management.
- Fully optimized clusters for high-performance distributed training and inference workloads.
- Comprehensive tools for cluster and node management, including scaling operations and maintenance tasks.
- Integration with AWS API MCP Server, AWS Knowledge MCP Server, and Amazon EKS MCP Server for complete coverage of SageMaker HyperPod APIs.
What to do
- Visit the AWS MCP Servers documentation to get started.
Source: AWS release notes
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