treebeardtech/kubeflow-bootstrap
🪐 1-click Kubeflow using ArgoCD
This project helps MLOps engineers and platform teams simplify the deployment and management of Kubeflow, an open-source machine learning platform, on Kubernetes clusters. It takes your existing Kubernetes infrastructure configuration (like Terraform or Helm) and deploys a complete Kubeflow environment, primarily focused on Jupyter notebook instances for data scientists and ML developers. The outcome is a consistent, scalable, and secure cloud-native AI platform for machine learning development and deployment.
No commits in the last 6 months.
Use this if you are an MLOps engineer or platform team looking to quickly and consistently deploy a production-ready Kubeflow environment on Kubernetes using GitOps principles.
Not ideal if you are a data scientist or machine learning engineer who just needs to run individual experiments and isn't responsible for infrastructure setup.
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Apache-2.0
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Last pushed
Aug 08, 2024
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