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  • Getting started

    KServe Quickstart First InferenceService
  • Spark

    Predict on a Spark MLlib model PMML InferenceService Setup Train a Spark MLlib model and export to PMML file Create the InferenceService with PMMLServer Run a prediction Pre...
  • Inference Batcher

    Inference Batcher Example Inference Batcher This docs explains on how batch prediction for any ML frameworks (TensorFlow, PyTorch, …) without decreasing the performance. This ...
  • Inference Logger

    Inference Logger Basic Inference Logger Create Message Dumper Create an InferenceService with Logger Check CloudEvents Knative Eventing Inference Logger Create Message Dumper ...
  • Inference Autoscaling

    Autoscale InferenceService with inference workload InferenceService with target concurrency Create InferenceService Predict InferenceService with concurrent requests Check Dash...
  • The Scalability Problem

    The model deployment scalability problem Compute resource limitation Maximum pods limitation Maximum IP address limitation. Benefit of using ModelMesh for Multi-Model serving ...
  • Inference Kafka

    End to end inference service example with Minio and Kafka Deploy Kafka Install Knative Eventing and Kafka Event Source Deploy Minio Upload the mnist model to Minio Create S3 Se...
  • ModelMesh installation

    ModelMesh Installation Guide 1. Standard Installation 2. Quick Installation ModelMesh Installation Guide KServe ModelMesh installation enables high-scale, high-density and fre...
  • URI

    Predict on an InferenceService with a saved model from a URI Create HTTP/HTTPS header Secret and attach to Service account Sklearn Train and freeze the model Specify and create t...
  • PMML

    Deploy PMML model with InferenceService Create the InferenceService Run a prediction Deploy PMML model with InferenceService PMML, or predictive model markup language, is an X...