KServe is a Kubernetes-based platform for serving machine learning models. It simplifies production model serving with features like GPU Autoscaling, Scale to Zero, and Canary Rollouts. It supports various ML frameworks, offering a standardized inference protocol and leverages ModelMesh for scalability and intelligent routing.
KServe provides a simple, pluggable solution for production ML serving, covering prediction, pre/post processing, monitoring, and explainability. It is widely adopted for its scalability, standards-based approach, and advanced deployment options like canary rollouts and ensembles.