Karmada, multi-cluster Kubernetes management, graduates at KubeCon China

2026-09-08 · Publisher : CNCF · Domain : Cloud & DevOps

On 8 September 2026, at KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference in Shanghai, the CNCF announces Karmada's graduation: running applications across clusters, clouds and regions, with Bloomberg, Alibaba Cloud and Huawei among adopters.

### Background On 8 September 2026, at the combined KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 in Shanghai (7 to 9 September), the CNCF announces the graduation of **Karmada**. The project lets you run applications across multiple Kubernetes clusters, clouds and regions without changing the applications. First commit in November 2020, Sandbox in September 2021, incubation in December 2023. ### Key facts - More than 1,214 contributors from 292 organizations and more than 5,600 GitHub stars. - Graduation conditions cited: a third-party security audit, a formal steering committee and adoption of the CNCF Code of Conduct. - Karmada v1.19, released for the occasion: multi-component scheduling for distributed AI training, and priority-based scheduling in beta, enabled by default. - Adopters cited: Bloomberg, Wellhub, Alibaba Cloud, Huawei, Trip.com, Bilibili, iFLYTEK, JDCloud, Kuaishou, RedNote, SenseTime, Vivo, WPS, ZTO and DaoCloud. - China is, according to the CNCF, the second-largest contributor base for its projects; the event brings together the CNCF, the OpenInfra Foundation and the PyTorch Foundation for the first time. ### Why it matters Karmada answers a need of large organizations: spreading applications across several clusters and providers, including for AI, which touches multi-cloud portability and resilience. The adopters cited are largely Asian (Alibaba Cloud, Huawei, Bilibili, Kuaishou), a context point to look at for European clients. To assess case by case, alongside the multi-cluster features of managed platforms. ### Takeaway Karmada reaches the CNCF's most mature level, a sign of rising multi-cluster and multi-cloud deployments, especially in Asia.

Tags : Kubernetes, Multi-cloud, Chine, Open Source, Conférence