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# The $2 trillion AI infrastructure problem no one is talking about, and the engineer solving it

**[The Next Web](https://daily.dev/sources/tnw)** · 6 min read · 0 upvotes · 0 comments

## Summary

GPU idle rates above 30% and headcount scaling linearly with cluster size represent a massive hidden cost in AI infrastructure. Shashidhar Bhat, a ByteDance engineer, has built a body of work addressing this operational layer: an internal agent-based automation system called OpenSkill that reduced GPU idle time by 35% across ByteDance's large-scale Kubernetes clusters, contributions to the open-source Kubewharf Katalyst resource management framework, and Carbon-Kube, an open-source Kubernetes scheduler targeting carbon emissions in cluster operations. Together, these projects represent a shift from bespoke internal tooling toward accessible open-source solutions for the AI infrastructure operational margin problem.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/2-trillion-ai-infrastructure-problem-shashidhar-bhat>

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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure)

[View this post on daily.dev](https://daily.dev/posts/the-2-trillion-ai-infrastructure-problem-no-one-is-talking-about-and-the-engineer-solving-it-yf1tucuhw)

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