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Comment by Michaelanjello | Hacker News Reader

Uber's software doesn't exist in the public realm, and so there is nothing to learn from it. It is imaginary fluff. I have posted a list of the ones that do actually exist in another comment. And you should've at least got a 1080.

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It actually gives a lot of idea and validation for concepts that I was thinking about for my project https://github.com/polyaxon/polyaxon, namely for going from trained model to serving those models on other platforms in a seamless way. I also think that high-level articles like this one are really good for people who are trying to build internal tools around ML/AI ops, people can get more or less ideas about what and how other companies are managing their ML pipelines and how they impact the productivity of their teams.

You should be getting ideas from actual open source projects that actually exist, not from imaginary/fake ones. There are numerous serving packages that actually exist and offer ideas.

I wanted a portable laptop and just saw 1070s on what was available. What brand of GPU laptop do you suggest?

I got some ideas from reading the article, but yes, I agree with you that the article should have a link to a public git repo for at least some of their tooling.

EDIT: I wanted the multi-GPU Lambda Labs box, but with my lifestyle I require some mobility. I agree that the 1070 is a bit weak, but is still better than no GPU and I like The System76 laptop I bought even when I am not using the GPU.

You will get a lot more ideas from other software that actually do exist. I can easily write a fake blog post with fake thoughts giving you fake ideas, but that's not what you want; you deserve ideas that work.

System76 does sell laptops with the 1080.

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