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guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks MCP Server

aws-solutions-library-samples/guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks

Score: 49.7 Rank #16136 Agent Framework
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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

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Overview

aws-solutions-library-samples/guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks is a Python tool licensed under MIT-0. 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

Ranked #16136 out of 24840 indexed tools.

Ecosystem

Python MIT-0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 19

19 stars → early stage

Freshness 25% 20d ago

Last commit 20d ago → recently updated

Issue Health 25% 0%

0/3 issues closed → many open issues

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 11
Description Detailed
License MIT-0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 3 open vs 0 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for aws-solutions-library-samples/guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks
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topic:mcp-server

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