Clipper

What it does

Clipper is a container registry that does file-level deduplication across layers and across images. By ditching tarballs, we get up to 10x faster pulls and 7x faster builds. Clipper is drop-in compatible with your existing container workflows: ull with the Clipper client, get standard OCI images on disk. Same workflow, dramatically less data stored and transferred. Compatible with Docker, Kubernetes, Podman, containerd, AppImage/sif, and others.

Container registry with chunk-based distribution

Chunk-level deduplication across layers, tags, and repos. Reuse the data you already have, only transfer what's new. Clipper reuses the data your device already has on it. Adding a single dependency or changing a few lines of Python is no problem. Ever tried to pull a large image over cell service on a farm? DSL in a warehouse? It could take hours. Clipper does what Docker can't. Pulled images can be run by docker , podman , and containerd with no modification. Clipper handles chunking and dedup transparently. Local chunk cache on every device. Pulls skip bytes already on disk. CUDA runtimes, model weights, datasets. Purpose-built for the images Docker wasn't designedfrom clipper.dev

In the maker’s words, at launch

Hey HN! I've built clipper.dev - the fastest container repository in the world. (Big claim, I know.) It deduplicates at a file/chunk level, rather than at the layer level. I get around 10-20% faster pulls than docker (when using containerd for both) for fresh pulls. For some workflows, I see 80-90% faster patch…

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