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leptonai

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A Pythonic framework to simplify AI service building
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Show HN: Running LLMs in one line of Python without Docker
2 projects | news.ycombinator.com | 4 Oct 2023

It's not only about "building a docker" but also maintaining multiple models, multiple environments and a lot of users. Imagine there is a group of engineers each needing to deploy their own models: one needs tensorflow 1.x, one needs tensorflow 2.x, one needs pytorch and one needs a very strange combination of dependencies. Trust me, things get complex very easily:
https://github.com/leptonai/examples/blob/main/advanced/whis...
I definitely agree that for a fixed use case, building a docker once and for all is probably the simplest and best approach. However, it quickly gets more complex and out of hand.
Also the basic plan is free for independent developers - isn't it worth it? :)