The Cloud Native Computing Foundation (CNCF), OpenInfra Foundation, and PyTorch Foundation have jointly announced the full schedule for KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026. The combined event will take place from September 7–9 at the Shanghai International Convention Center, marking the first convergence of these three major open source ecosystems on a single global stage.
The initiative reflects a growing industry shift toward tightly integrating cloud native infrastructure with AI-driven workloads, particularly across enterprise and production environments.
The joint conference represents a landmark collaboration between three of the most influential open source ecosystems: cloud native computing, infrastructure platforms, and AI frameworks. By combining their flagship communities, the event aims to address the growing need for unified systems that can support both traditional enterprise workloads and modern AI applications.
China, being one of the largest contributors to CNCF projects, serves as a key hub for open source development and production-scale deployment.
According to organizers, enterprises are increasingly demanding infrastructure that can seamlessly support AI model training, inference, and agent-based workflows alongside traditional workloads.
The integration of platforms such as Kubernetes, OpenStack, Kata Containers, PyTorch, and vLLM is enabling a full-stack approach to AI—from hardware provisioning to application deployment. This ensures AI systems are not only experimental but also scalable, portable, and production-ready.
The conference highlights how cloud native and open infrastructure layers combine to support modern AI workloads:
This layered architecture is increasingly critical for enterprises deploying AI at scale across heterogeneous environments and specialized hardware.
The two-day technical agenda includes multiple specialized tracks focusing on real-world AI and infrastructure challenges:
This track covers end-to-end AI workflows, including model training, retrieval-augmented generation (RAG), and agentic AI systems designed for enterprise use cases.
Focused on foundational infrastructure such as OpenStack and container runtimes, this track explores scalable provisioning of AI-ready compute and storage resources.
This track highlights Kubernetes-based internal developer platforms and multi-tenant architectures optimized for AI workloads and accelerator-aware scheduling.
Sessions across the event will showcase real-world deployments, including large-scale document processing systems, GPU virtualization at scale, and controlled AI agent architectures in banking environments.
These case studies emphasize how enterprises are moving AI systems from experimental stages into production-grade environments with high reliability and governance.
The Dan Kohn Scholarship Program will provide travel and registration support for participants, with application deadlines in July 2026. The event will also feature co-located conferences such as AGNTCon + MCPCon China, focusing on agentic AI systems and orchestration protocols, and OSPOlogy + OSPO Summit, which explores open source governance in the AI era.
KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 underscores a major industry transition toward unified AI and cloud native infrastructure. By bringing together leading open source communities, the event aims to accelerate the development of scalable, production-ready AI systems that operate seamlessly across modern enterprise environments.
The Cloud Native Computing Foundation (CNCF) hosts critical open source projects like Kubernetes, Prometheus, and Envoy. It supports cloud native computing across public, private, and hybrid clouds and is part of the Linux Foundation ecosystem. More information at www.cncf.io.
The OpenInfra Foundation supports open source infrastructure projects including OpenStack and Kata Containers, fostering global collaboration across cloud, edge, and AI infrastructure. More information at www.openinfra.org.
The PyTorch Foundation is a Linux Foundation-hosted community supporting PyTorch and related AI projects such as vLLM and DeepSpeed, enabling scalable AI development across research and production environments. More information at https://pytorch.org/foundation.
