Track 11Ship & watch
3 modules · 1 lab

Advanced Cloud-Native Serving with KServe

Implement serverless model inference, scale-to-zero, and standardized runtime specifications.

Assumes: Kubernetes-Native Model Serving.

Modules

  1. Serverless Machine Learning Architecture
  2. Introduction to KServe and Custom Resource Definitions (CRDs)
  3. Explaining Predictions and Managing Model Revisions

Tools

  • KServe
  • Kubernetes
  • Istio
  • Knative
  • Linux

Lab work

Linux CLI operations for KServe, kubectl commands, and automated deployment workflows.

 

View dashboard

Introduction to KServe and Custom Resource Definitions (CRDs)