Workload-Map

Translation layer mapping any Kubernetes framework's CRDs into a standard structure.

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Workload-Map is a translation layer that normalizes different Kubernetes frameworks' Custom Resource Definitions for AI training and inference workloads into one standardized structure. It's for platform teams running multiple Kubernetes-based ML frameworks who want tooling that works consistently across them instead of writing separate integrations for each framework's CRD format.

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