The world's fastest
container registry

Chunk-level deduplication across layers, tags, and repos.
Reuse the data you already have, only transfer what's new.

10–50%
faster fresh pulls
10x
faster patch pulls

Blazing fast patch pulls

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.

docker pull—
a1b2c3d4e5f6
cached
7f8e9d0c1b2a
0%
3c4d5e6f7a8b
0%
9e0f1a2b3c4d
0%
0 / 970 MB
clipper pull—
a1b2c3d4e5f6
cached
7f8e9d0c1b2a
93%
3c4d5e6f7a8b
89%
9e0f1a2b3c4d
82%
0 / 98 MB

90% less data transferred

29m 4s faster over 3G

Dial-up 48 Kbps3G 4 MbpsLTE 48 MbpsBroadband 200 Mbps

Drop-in compatible

Switching is easy.

Pulled images can be run by docker, podman, and containerd with no modification. Clipper handles chunking and dedup transparently.

terminal
$ docker push myimage:latest^C
$ clipper push myimage:latest acme/myimage:latest
uploaded 125 blobs (823.9 MB) in 1m1.348s, skipped 0
pushing manifest to clipper.dev/acme/myimage:latest ...
done
$ docker run clipper.dev/acme/myimage:latest

Built for

Robotics

OTA updates that only transfer what changed.

Local chunk cache on every device. Pulls skip bytes already on disk.

Large images

A registry built for multi-gigabyte images.

CUDA runtimes, model weights, datasets. Purpose-built for the images Docker wasn't designed for.

Inference

Deploy new model versions to a warm fleet.

Most chunks are already on disk from the last version.

Get Started