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depot.ai reviews and mentions
- GitHub - depot/depot.ai: Embed machine learning models in your Dockerfile
- Depot.ai – Docker registry for public machine learning models
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Show HN: depot.ai – easily embed ML / AI models in your Dockerfile
To optimize build speed, cache hits, and registry storage, we're building each image reproducibly and indexing the contents with eStargz[0]. The image is stored on Cloudflare R2, and served via a Cloudflare Worker. Everything is open source[1]!
Compared to alternatives like `git lfs clone` or downloading your model at runtime, embedding it with `COPY` produces layers that are cache-stable, with identical hash digests across rebuilds. This means they can be fully cached, even if your base image or source code changes.
And for Docker builders that enable eStargz, copying single files from the image will download only the requested files. eStargz can be enabled in a variety of image builders[2], and we’ve enabled it by default on Depot[3].
Here’s an announcement post with more details: https://depot.dev/blog/depot-ai.
We’d love to hear any feedback you may have!
[0] https://github.com/containerd/stargz-snapshotter/blob/main/docs/estargz.md
[1] https://github.com/depot/depot.ai
[2] https://github.com/containerd/stargz-snapshotter/blob/main/docs/integration.md#image-builders
[3] https://depot.dev
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A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Stats
depot/depot.ai is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of depot.ai is TypeScript.
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