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aws-samples/amazon-eks-machine-learning-with-terraform-and-kubeflow

MLOps on Amazon EKS

About the project

Amazon EKS Machine Learning with Terraform and Kubeflow is a modular platform for running machine-learning operations on Amazon EKS, the managed Kubernetes service, including training pipelines and model-serving systems. It is intended for teams deploying distributed training and inference with tools such as Kubeflow, MLflow, Airflow, and KServe, using configurable AWS infrastructure. The catalogue entries provide commands, skills, hooks, and a plugin for working with this deployment setup.

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colocation-pipeline

01

aws-samples/amazon-eks-machine-learning-with-terraform-and-kubeflow

Plugin Claude Code ✓ vendor

Bundles 2 skills, 15 commands, 2 hooks · 571 tokens together

Runs the GPU co-location pipeline on a model fleet file: harness image, plan, demand sweep, profile, plan again, search, read, export. Carries the sequence as one skill and serving an export on KAI GPU fractions as a second, a command for each step and for each KAI action, and hooks that refuse the commands which…

not rated 132 4d ago A tokens not measured original Apache-2.0