KServe becomes a CNCF incubating project

What is KServe? Key Milestones and Ecosystem Growth Integrations Across the Cloud Native Landscape Technical Components Community Highlights Maintainer Perspective From the TOC Looking Ahead Posted on November 11, 2025 by KServe Project Maintainers CNCF projects highlighted in this post The CNCF Technical Oversight Committee (TOC) has voted to accept KServe as a CNCF incubating project. KServe joins a growing ecosystem of technologies tackling real-world challenges at the edge of cloud native infrastructure. KServe is a standardized distributed generative and predictive AI inference platform for scalable, multi-framework deployment on Kubernetes. It is designed as a single, unified platform for both generative and predictive AI inference on Kubernetes. While simple enough for quick deployments, KServe is powerful enough to handle enterprise-scale AI workloads with advanced features. KServe originated in 2019 as a collaborative effort by Google, IBM, Bloomberg, NVIDIA, and Seldon under the Kubeflow project. It was later donated to the LF AI & Data Foundation in February 2022. In September 2022, the project rebranded from KFServing to the standalone KServe, graduating from Kubeflow. KServe then moved to CNCF as an incubator in September 2025. KServe has demonstrated consistent and growing adoption across diverse industries and geographies, with production deployments ranging from large-scale multi-cloud enterprise platforms to specialized internal AI infrastructure. The project is used by major organizations, including Bloomberg, Red Hat, Cloudera, CyberAgent, Nutanix, SAP, NVIDIA, and others, spanning sectors such as enterprise software, cloud infrastructure, online media, gaming, and financial services. Deployments support both generative and predictive AI workloads at scale.