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Deploying LLM Models on Kubernetes Clusters

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

Running large language models on Kubernetes gives you control over data residency, hardware, and request routing. For teams with strict compliance requirements or existing GPU investments, self-hosting is often a necessity. That said, operating GPUs at scale introduces real complexity: driver compa…

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  1. 2026-09-16 01:32 · DEV Community — AI
    Deploying LLM Models on Kubernetes Clusters

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