Show HN: depot.ai – easily embed ML / AI models in your Dockerfile

• stargz-snapshotter

  10 1,045 8.4 Go

  Fast container image distribution plugin with lazy pulling

  

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

• cli

  67 111 9.4 Go

  🖥️ Depot CLI, build your Docker images in the cloud (by depot)

  

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

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• depot.ai

  3 78 8.4 TypeScript

  Embed machine learning 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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