# Local LLM NAS Setup: Storage, GPU, RAM, Networking and Software

> For a flexible long-term build, keep protected datasets and bulk model archives on the NAS, place active model weights and vector/application data on SSD/NVMe, and run inference on the machine with the best supported memory and accelerator. Use 10GbE when large datasets, multi-user transfers or frequent model movement would otherwise make the network the slowest layer.

Canonical: https://cloudzat.com/local-llm-nas-setup/

Use the canonical page for live hardware availability and current deployment guidance.

## Related Cloudzat guidance
- [Ollama on NAS](https://cloudzat.com/ollama-on-nas/)
- [Open WebUI on NAS](https://cloudzat.com/openwebui-on-nas/)
- [AnythingLLM on NAS](https://cloudzat.com/anythingllm-on-nas/)
- [n8n on NAS with Local AI](https://cloudzat.com/n8n-on-nas-local-ai/)