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

by aws-solutions-library-samples

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

โ˜… 21 stars8 forksActivePython
79
Good

๐Ÿ“Š Score Breakdown

๐Ÿ›ก๏ธSecurity30%
5.0/5
โšกUtility30%
2.0/5
๐Ÿ”„Maintenance25%
5.0/5
๐Ÿ’ŽUniqueness15%
4.0/5

Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology โ†’

โ„น๏ธ Details

Ecosystem

MCP Server

Language

Python

Pricing

Free

License

MIT-0

Status

Active

Platforms

Claude

๐Ÿ“ˆ GitHub Signals

21

Stars

8

Forks

0

Commits (30d)

4

Open Issues

Last commit: 5 months ago

agentic-aiagentic-workflowhuggingfaceinferenceinference-enginelangfuselitellm-ai-gatewaymcp-client

๐Ÿ… Show your score

Scored 79/100 for security, utility and maintenance. Add the badge to your README or site to show it, verified by an independent directory.

guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks scored 79/100 on SkillsIndex
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