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The problems for services such as GitHub with scaling are reducing cost per customer. That's even more pertinent when discussing inference at scale.
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> The problems for services such as GitHub with scaling are reducing cost per customer. That's even more pertinent when discussing inference at scale.

I don't think that's true. When I look at GitHub's incident history,[0] it doesn't read to me like a company that's struggling to cut costs. It looks like a company that's trying to do a million things to serve a million use cases, and the growing interconnections between all those distinct services and workflows cause unexpected failures.

[0] https://www.githubstatus.com/history

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