aws-solutions-library-samples/guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP
This solution provides a robust platform for deploying advanced AI applications that understand natural language and process documents at scale. It takes in user questions or documents, uses large language models and intelligent agents to process them, and outputs accurate answers, summarized information, or automated actions. Data scientists and machine learning engineers who need to build and manage large-scale AI applications would use this.
Use this if you need a scalable and cost-effective infrastructure to deploy and manage large language models and agentic AI applications with capabilities like document understanding and question answering.
Not ideal if you are looking for a simple, off-the-shelf AI tool for casual use or if your AI inference needs are small and do not require elastic scaling or complex agentic workflows.
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Python
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MIT-0
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Last pushed
Feb 14, 2026
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