Best NAS Devices for Local AI Storage (2026)
The best NAS for storing local AI model weights is the Synology DS925+ — reliable DSM software, dual 2.5GbE, and a 4-bay diskless design that scales to multi-terabyte model libraries. For users who need 10GbE without an add-in card, the UGREEN DXP4800 Plus delivers faster model loading at $150 less. A NAS centralizes model storage so every machine on your network — Mac Mini, mini PC, GPU workstation — loads models from the same source without duplicating 40GB files across multiple drives.
Ranked Picks
3 reviewed01
Top Pick
Synology DiskStation DS925+
Best overall home AI NAS — DSM software is unmatched in reliability and ecosystem. Dual 2.5GbE with link aggregation provides 5 Gbps effective throughput. 5-year warranty and excellent long-term software support make this the safest long-term investment for model storage.
02
UGREEN DXP4800 Plus NAS
Best value 4-bay NAS — 10GbE included at $350 is exceptional. Dual M.2 NVMe slots for SSD caching bring hot model load times near local NVMe speeds. Choose this over DS925+ if you have a 10GbE switch or plan to get one.
03
MINISFORUM N5 Air NAS
Most powerful AI NAS — the only NAS with OCuLink for eGPU and a PCIe x16 slot for expansion. If you want to run inference on the NAS itself (not just store models), this is the only option. Significantly more expensive and technical to set up.
Hardware Requirements
2.5GbE or 10GbE switch recommended for full speed benefits. Drives sold separately for diskless models (DS925+, DXP4800 Plus). NAS-rated CMR drives recommended (Seagate IronWolf, WD Red Plus) — avoid SMR drives for AI workloads.
Why This Matters
A 70B Q4 model is approximately 40GB. Running the same model on three machines without a NAS means storing 120GB of duplicated files. A 4-bay NAS with 4 × 4TB drives (12TB usable in RAID 5) stores 300+ different 70B model quantizations accessible to every machine simultaneously. Over 2.5GbE, a 40GB model loads in 2–3 minutes — fast enough for a workflow where you switch models a few times per day.
Frequently Asked Questions
Q1Can I run Ollama directly on a NAS?
Yes, with caveats. All three NAS devices in this guide can run Ollama via Docker. CPU inference on a NAS CPU produces 1–5 tokens/sec on 7B models — usable for background tasks but too slow for interactive chat. The MINISFORUM N5 Air's OCuLink eGPU connection enables full GPU-accelerated inference on the NAS itself. For most users, the better setup is using the NAS for storage and running Ollama on a Mac Mini or dedicated GPU machine.
Q2What drives should I buy for AI model storage?
For primary storage: Seagate IronWolf (NAS-rated, CMR) or WD Red Plus (NAS-rated, CMR) in 4TB–8TB capacities. Avoid WD Red (non-Plus) — SMR drives are slower for the mixed workloads on a NAS. For SSD caching (if your NAS supports it): Samsung 990 Pro or WD Black SN850X in 1TB–2TB for hot model caching.
Q3How fast does a NAS load LLM models compared to a local SSD?
Local NVMe SSD: 3,000–7,000 MB/s. NAS over 10GbE: ~1,000 MB/s. NAS over 2.5GbE: ~280 MB/s. NAS over Gigabit Ethernet: ~120 MB/s. A 40GB 70B model loads in: 6–14 seconds (NVMe), 40 seconds (10GbE NAS), 2.5 minutes (2.5GbE NAS), 5+ minutes (Gigabit NAS). For models you load once per session, 2.5GbE is practical. For frequent model switching, 10GbE NAS or local NVMe is preferred.
Q4Can multiple machines access the NAS simultaneously?
Yes. NAS devices serve model files over SMB or NFS to multiple clients simultaneously. The DS925+ with dual 2.5GbE (5 Gbps aggregated) can serve two machines at full 2.5GbE speed simultaneously. The DXP4800 Plus with 10GbE + 2.5GbE can serve one machine at 10GbE and another at 2.5GbE at the same time. MINISFORUM N5 Air with 10GbE + 5GbE serves multiple high-speed clients.
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