Dragonfly graduates after demonstrating production readiness, powering container and AI workloads at scale Key Highlights: SAN FRANCISCO, Calif. – January 14…

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Dragonfly, a cloud native image and file distribution system, has graduated from CNCF after demonstrating production readiness and widespread adoption. The project uses peer-to-peer technology to distribute container images, OCI artifacts, and AI models at scale, saving up to 90% storage bandwidth and reducing launch times from minutes to seconds. Major organizations including Ant Group, Alibaba, Datadog, DiDi, and Kuaishou use Dragonfly to power large-scale container and AI workloads. Since joining CNCF, the project has seen over 3,000% growth in code contributions, expanding from 45 contributors across 5 companies to 271 contributors across 130+ companies. Future development will focus on accelerating AI model distribution using RDMA, optimizing image layouts for AI workloads, and implementing load-aware scheduling.

CNCF Announces Dragonfly’s Graduation