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title: LLM Model Storage with NFS: Download Once, Infer Everywhere
description: Deploy vLLM on Kubernetes with NFS shared storage to eliminate redundant model downloads. Instead of each pod downloading multi-gigabyte LLM models from...
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# LLM Model Storage with NFS: Download Once, Infer Everywhere

**[DigitalOcean Community](https://daily.dev/sources/do_community)** · 17 min read · 1 upvotes · 0 comments

## Summary

Deploy vLLM on Kubernetes with NFS shared storage to eliminate redundant model downloads. Instead of each pod downloading multi-gigabyte LLM models from HuggingFace at startup, download once to a managed NFS share and let all pods load directly from there. This approach reduces startup time, removes external runtime dependencies, and enables instant scaling across GPU nodes. The guide walks through setting up DigitalOcean Kubernetes with H100 GPUs, configuring NFS persistent volumes, running a one-time model download job, and deploying vLLM with shared model access.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.digitalocean.com/community/tutorials/llm-model-storage-nfs-kubernetes>

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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#llm](https://daily.dev/tags/llm), [#gpu](https://daily.dev/tags/gpu)

[View this post on daily.dev](https://daily.dev/posts/llm-model-storage-with-nfs-download-once-infer-everywhere-0uv0zekk8)

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