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Deploying LLM Models on a Kubernetes Cluster with GPU Support: A Tutorial

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

In this tutorial we will build a Kubernetes-native LLM agent and deploy it to a GPU-enabled cluster. Instead of self-hosting multi-billion parameter models on expensive GPU nodes, our service calls Oxlo.ai for inference. This gives you elastic LLM capacity without managing terabyte-scale model weig…

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  1. 2026-09-16 07:39 · DEV Community — AI
    Deploying LLM Models on a Kubernetes Cluster with GPU Support: A Tutorial

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