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awsome-distributed-ai
awsome-distributed-ai에는 awslabs에서 수집한 skills 6개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Patterns for unit testing bash scripts using bats-core, including AWS CLI mocking, jq/sed/awk testing, and cross-platform portability
Build the Slurm compute node container image via CodeBuild or local Docker, generate SSH keys, and render Helm values using setup.sh
Deploy HyperPod EKS infrastructure using deploy.sh via CloudFormation or Terraform, including AZ resolution, stack outputs, and kubeconfig setup
Install cert-manager, AWS LB Controller (Pod Identity), MariaDB, Slurm operator, and Slurm cluster on HyperPod EKS using install.sh, including subnet tagging and NLB configuration for SSH access
Validate all prerequisites (CLI tools, AWS credentials, environment variables, kubectl context) before running slinky-slurm deployment scripts
Post-deployment health checks for slinky-slurm including pod status, Slurm node registration, SSH connectivity, and test job submission