dhi.io/kserve-router
KServe Router
The routing component for KServe inference graphs, enabling complex model serving patterns with intelligent traffic routing.
pushed 8 hours ago
linux/amd64, linux/arm64
56.06 MB
for linux/amd64
221
for linux/amd64
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About KServe Router
The KServe Router is a component that orchestrates inference requests across multiple models in a KServe deployment. It routes requests based on an inference graph definition, enabling complex model serving patterns for machine learning inference pipelines.
The router supports:
- Sequential routing: Chain models together for preprocessing, inference, and postprocessing workflows
- Conditional routing: Route requests to different models based on conditions or request content
- Parallel execution: Send requests to multiple models simultaneously and aggregate results
- Ensemble serving: Combine outputs from multiple models for improved predictions
The router integrates with KServe's InferenceGraph custom resource and automatically handles request routing based on the configured graph topology, making it simple to deploy sophisticated multi-model inference workflows in Kubernetes.
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