daekeun-ml/aws-ai-infra-helper

This collection of helper scripts/ and guides for AWS SageMaker HyperPod and ParallelCluster makes it easy to get started with large-scale distributed training on Slurm-based HPC clusters and Kubernetes-based EKS clusters, as well as AI/ML model inference deployment.

16
Stars
3
Forks
20.4
Radar Score
Stable
Momentum

Scoring Breakdown

Impact5.6
Velocity23.5
Health39.9

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Modest but positive momentum.

AI Infrastructure · model servingTop 96% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
20.4
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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