Agent Toolkit for AWS
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- AWS adds SageMaker inference-optimization skill for coding agents
AWS introduced the aws-ai-ml skill through the Agent Toolkit for AWS, giving MCP-compatible coding agents such as Kiro, Claude Code and Codex SageMaker AI inference optimization and benchmarking expertise. The skill load-tests existing endpoints and reports measured throughput, latency percentiles and concurrency, ranks instance types for models stored in S3, in SageMaker JumpStart or on Hugging Face Hub, compares two benchmark runs, and generates runnable SageMaker Python SDK v3 code. It can be installed locally via an npx command or used in a preconfigured image inside a private Amazon SageMaker Studio JupyterLab space.
AWS Machine Learning Blog · 🔥 0
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