Capability
Multi Model Concurrent Inference
9 artifacts provide this capability.
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KServePlatform43/100
via “multi-model inference graphs with sequential and parallel model composition”
Kubernetes ML inference — serverless autoscaling, canary rollouts, multi-framework, Kubeflow.
Unique: Implements multi-model composition through InferenceGraph CRD with declarative DAG specification, enabling complex pipelines without client-side orchestration; control plane manages graph execution and request routing across component models
vs others: More integrated than external orchestration (Airflow, Kubeflow Pipelines); simpler than custom request routing logic; declarative specification enables GitOps-compatible graph management