Kubeflow
Open-source ML platform for Kubernetes-based ML pipelines
About Kubeflow
Kubeflow runs ML workflows on Kubernetes with pipelines, training operators, and Katib for hyperparameter tuning. Strong for teams already running on Kubernetes wanting ML-native workflows.
Best for
Best for teams running on Kubernetes wanting native ML pipeline orchestration
Pros & Cons
Pros
- Native Kubernetes integration
- Full pipeline orchestration for ML
- Katib for automated hyperparameter tuning
Cons
- Steep learning curve — requires K8s expertise
- Complex setup and maintenance
- Not suited for teams without K8s infrastructure
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