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KFP v2 shifts pipeline validation to compile time and emits Tekton Pipeline specs. Learn the portability boundaries, MLMD lineage requirements, and operational trade-offs for ML teams.
A decision guide for choosing between Kubeflow Pipelines v1 and v2 SDKs, featuring a comparison of artifact handling, a v2 implementation example, and validation steps.
KFP v2 Artifact Orchestration Kubeflow Pipelines (KFP) v2 utilizes a functional DAG model where components execute as isolated containers. Data exchange is managed by persisting output artifacts to an external object store, such as MinIO, which are then referenced as inputs for downstream components. Performance Constraints When handling large datasets betwe
kubeflow
kubernetes