Dragonfly's CNCF Graduation Journey and Large-Scale AI Model Distribution in Practice

Speakers: Fengjun Lyu, Wenbo Qi

This video is posted in 2026-09-24.

In 2025, after nearly eight years of incubation within CNCF, the Dragonfly project officially graduated. But getting there wasn't easy. Growing from an internal project at Alibaba to a full-community-driven CNCF graduated project came with its fair share of challenges. In this talk, we will discuss the inner workings of Dragonfly's journey to its current state.

We’ll cover our lessons in community governance, including how we evolved from a small group of maintainers to transparent decision-making and attracted global contributors through effective open-source practices.

On the technical side, the increasing popularity of LLMs has made the efficient distribution of model files at the GB or even TB scale a significant challenge. We'll dive into how Dragonfly's P2P capabilities have evolved to tackle the challenge of pulling massive model files concurrently across Kubernetes clusters, along with best practices we've developed for AI inference and training workloads.