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With ML and AI now being pushed into everything, images have ballooned in size. Just having torch as a dependency is some multiple gigabytes. I miss the times of aiming for 30MB images.

Have others found this to be the case? Perhaps we're doing something wrong.

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I’ve seen images that accidentally install tensorflow twice, too. It wouldn’t be so bad if large files were shared between layers but they aren’t. It’s bad enough that I’m building an alternative registry and snapshotter with file level dedupe to deal with it.

Sounds like it would be useful. Many common dev workflows started falling apart when it's not just tiny code files they need to deal with. In the python world, uv has helped massively, with pip we were seeing 30+ min build times on fairly simple images with torch

uv is one of my inspirations. Take a familiar interface, do the same thing but better/faster.

I have an immutable Alpine Linux running from an ISO that includes a few docker containers (mostly ruby and php). All in about 750MB.

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