Centralized Ollama AI Models Using TrueNAS [YouTube Release]

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Centralized Ollama AI Models Using TrueNAS

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Centralized Storage for Ollama AI Models Using NFS

[Centralized Ollama AI Models Using TrueNAS] If you’re running multiple machines or VMs with Ollama and want to avoid redownloading large language models on each one, it’s incredibly handy to store all models on a shared NFS mount. This not only saves space but also speeds up setup and syncs model access across systems. First setup a dataset and share in TrueNAS for NFS Create a dataset for the Ollama models and an NFS share as outlined in the TrueNAS Doc SSH into TrueNAS (or use…

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Learn how to optimize your Ollama AI deployments by storing your models on shared NFS storage using TrueNAS. In this step-by-step video, we walk through configuring NFS on TrueNAS and setting up Ollama to use a centralized model directory. This approach is perfect for running Ollama across multiple machines or containers, helping you avoid redundant downloads and keep everything in sync—ideal for both homelab enthusiasts and business environments.

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Chapters
00:00 Centralized Ollama AI Models Using TrueNAS
01:10 Using in Docker
01:41 TrueNAS NFS setup
04:14 Configuring NFS Share Mount For the Ollama Server
06:40 Using Ollama The Models At The Same Time