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depot.ai
TypeScript2023–2023
depot / depot.ai · Archived

depot.ai

Embed machine learning models in your Dockerfile

2Distinct people
2Mentions
0Explicit recommenders
105GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Embed machine learning models in your Dockerfile

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2023-07-18 15:58:13 UTC to 2023-11-06 02:08:42 UTC. Weeks start Monday, UTC.

012023-07-17 00:00:00 UTC to 2023-07-24 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJul 172023-07-24 00:00:00 UTC to 2023-07-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-31 00:00:00 UTC to 2023-08-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-07 00:00:00 UTC to 2023-08-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-14 00:00:00 UTC to 2023-08-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-21 00:00:00 UTC to 2023-08-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-28 00:00:00 UTC to 2023-09-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-04 00:00:00 UTC to 2023-09-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-11 00:00:00 UTC to 2023-09-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 112023-09-18 00:00:00 UTC to 2023-09-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-25 00:00:00 UTC to 2023-10-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-02 00:00:00 UTC to 2023-10-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-09 00:00:00 UTC to 2023-10-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-16 00:00:00 UTC to 2023-10-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-23 00:00:00 UTC to 2023-10-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-30 00:00:00 UTC to 2023-11-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-06 00:00:00 UTC to 2023-11-13 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsNov 6

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 172023-07-17 00:00:00 UTC2023-07-24 00:00:00 UTC110
Jul 242023-07-24 00:00:00 UTC2023-07-31 00:00:00 UTC000
Jul 312023-07-31 00:00:00 UTC2023-08-07 00:00:00 UTC000
Aug 72023-08-07 00:00:00 UTC2023-08-14 00:00:00 UTC000
Aug 142023-08-14 00:00:00 UTC2023-08-21 00:00:00 UTC000
Aug 212023-08-21 00:00:00 UTC2023-08-28 00:00:00 UTC000
Aug 282023-08-28 00:00:00 UTC2023-09-04 00:00:00 UTC000
Sep 42023-09-04 00:00:00 UTC2023-09-11 00:00:00 UTC000
Sep 112023-09-11 00:00:00 UTC2023-09-18 00:00:00 UTC000
Sep 182023-09-18 00:00:00 UTC2023-09-25 00:00:00 UTC000
Sep 252023-09-25 00:00:00 UTC2023-10-02 00:00:00 UTC000
Oct 22023-10-02 00:00:00 UTC2023-10-09 00:00:00 UTC000
Oct 92023-10-09 00:00:00 UTC2023-10-16 00:00:00 UTC000
Oct 162023-10-16 00:00:00 UTC2023-10-23 00:00:00 UTC000
Oct 232023-10-23 00:00:00 UTC2023-10-30 00:00:00 UTC000
Oct 302023-10-30 00:00:00 UTC2023-11-06 00:00:00 UTC000
Nov 62023-11-06 00:00:00 UTC2023-11-13 00:00:00 UTC110

What Hacker News says

2 sources
jacobwg·Jul 18, 2023Submission

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

Hey HN! We're excited to launch https://depot.ai today - depot.ai is an open-source Docker registry that makes it easy to embed public models from Hugging Face in your Docker images using a `COPY`: # Copy all files from the model repo to the current WORKDIR COPY --link --from=depot.ai/runwayml/stable-diffusion-v1-5 / . # COPY just one file from the model repo to the current WORKDIR COPY --link --from=depot.ai/runwayml/stable-diffusion-v1-5 /v1-5-pruned.ckpt . 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 t
Read the rest
hat 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#ima… [3] https://depot.dev
7 points · Open discussion

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