KServe is a newly accepted CNCF project designed to simplify and standardize machine learning model serving on Kubernetes.
This lightning talk provides a concise introduction to KServe for those new to the project. I will cover what KServe is, what it provides, and its key building blocks—such as InferenceService, serving runtimes and llmisvc(llm-d) —giving attendees a clear mental model of how KServe works and where it fits in modern cloud-native ML platforms.