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Deploying LLM Models on Kubernetes with GPU Support and Autoscaling

This story is from 2026-09-22. It is preserved in the archive; the latest stories are on the live feed.

Running large language models in production requires more than a GPU. It demands orchestration, scaling logic, and careful resource management. Kubernetes has become the default substrate for AI infrastructure because it unifies these concerns under a single control plane. Yet self-hosting inferenc…

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  1. 2026-09-22 19:31 · DEV Community — AI
    Deploying LLM Models on Kubernetes with GPU Support and Autoscaling

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