The best NAS for Ollama in Canada
The best NAS for Ollama you can buy in Canada right now is the Minisforum N5 MAX, running an everyday 8B model at 28 to 47 tok/s. For Ollama, rank a NAS by memory bandwidth and RAM, not by its NPU: Ollama does not use NPUs at all. The ranking below rates every NAS we track with the same engine as our AI NAS calculator.
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Top picks for Ollama
What Ollama actually needs
Ollama runs open-weight language models (Llama, Qwen, Gemma, gpt-oss) on your own hardware, usually as a container next to Open WebUI for a ChatGPT-style interface. What it needs is simple to state: enough free RAM to hold the model plus its conversation cache, and as much memory bandwidth as possible, because every word it writes means reading the model out of RAM. Core count and NPU TOPS barely matter.
In practice that means three numbers. Free RAM must hold the model file plus its conversation cache: about 6 GB for an 8B model at Ollama's default 4k context, 22 GB for a 32B model, 45 GB for a 70B one. Memory channels multiply bandwidth, so a two-slot NAS shipped with one stick runs Ollama at half the speed it could. And the memory type sets the ceiling: DDR4-2933 on a Celeron tops out near 47 GB/s with both channels filled, DDR5-5600 at 89.6 GB/s, and the 256-bit LPDDR5x in a Ryzen AI Max+ 395 at 256 GB/s.
RAM and channels: the two levers you control
Most NAS boxes that can run Ollama at all ship with 8 or 16 GB in a single stick. That is the worst of both worlds for local AI: small models only, at half bandwidth. The cheapest meaningful upgrade is a matching second stick, which fills the second memory channel and doubles both capacity and speed at once. Soldered-memory boxes (the ARM NAS units, the UGREEN iDX line, the Minisforum N5 MAX) cannot be upgraded, so buy the RAM you will need on day one.
One exception: chips with a single memory channel, like the Intel N100 in UGREEN’s DXP2800, gain capacity but no speed from more RAM. Published N100 results range from about 5 to 15 tokens a second on a 3B model, so on those boxes Ollama is a small-model tool.
Which models to run on which class of NAS
- Low-power Intel and ARM (N100, Celeron, RK3588): Llama 3.2 3B, Qwen3 4B or Gemma 3 4B. Expect a few words a second, and minutes of waiting on long prompts.
- Intel Core and Pentium with DDR5: 4B to 8B models; filling both channels is what turns 8B from slow to usable. No published LLM measurements exist for these NAS chips, so our ranges are wide.
- AMD Ryzen with a Radeon iGPU (Minisforum N5 Pro and N5 AIR): 8B at a comfortable reading speed with two sticks, and the mixture-of-experts gpt-oss 20B surprisingly fast because only 3.6B of its parameters are active per word.
- Ryzen AI Max+ 395 (Minisforum N5 MAX): up to Llama 3.3 70B, which fits in 64 GB and runs at about 5 tokens a second, the same as published measurements on that chip.
Open WebUI: the part you actually use
Ollama is the engine; Open WebUI is the interface, a self-hosted chat app built to run entirely offline that talks to Ollama. Both run as containers, so any NAS with a real container platform (Synology Container Manager, UGREEN Docker, QNAP Container Station, TerraMaster) can host them. Open WebUI adds user accounts, chat history and document upload, and it all stays on your network.
When a mini PC or a GPU is the better answer
If you want 8B-class models answering faster than you read and you do not already need a new NAS, a separate box is often the better buy: keep the NAS for storage and point Open WebUI at an Ollama server on a Ryzen mini PC. A discrete GPU with its own VRAM beats every NAS here on speed; a few AI NAS units (the Minisforum N5 Pro and N5 AIR with a PCIe slot and OCuLink, the UGREEN iDX6011 Pro with PCIe x8) can take one, which we do not model. Our calculator covers the built-in graphics and memory only.
Every NAS ranked for Ollama
Click a model for its full breakdown; “· add RAM” flags one that needs a memory upgrade first.
| NAS model | Runs? | Performance | What it needs on this model |
|---|---|---|---|
| N5 MAX | Yes | good | 8B model at 28 to 47 tok/s |
| iDX6011 Pro | Yes | good | 8B model at 3.7 to 20 tok/s |
| iDX6011 | Yes | good | 8B model at 3.3 to 18 tok/s |
| N5 AIR | Yes | good | 8B model at 4.9 to 8.2 tok/s |
| N5 Pro | Yes | good | 8B model at 4.9 to 8.2 tok/s · add RAM › |
| DH4300 Plus | Limited | fair | 8B model fits but runs at 3.0 to 4.9 tok/s |
| D4 | Limited | fair | 8B model fits but runs at 3.0 to 4.9 tok/s |
| D6 | Limited | fair | 8B model fits but runs at 3.0 to 4.9 tok/s |
| DXP4800 Plus | Limited | fair | 8B model fits but runs at 1.1 to 5.7 tok/s · add RAM › |
| DXP6800 Pro | Limited | fair | 8B model fits but runs at 1.1 to 5.7 tok/s · add RAM › |
| DXP6800 Ultra | Limited | fair | 8B model fits but runs at 1.1 to 5.7 tok/s |
| DXP8800 Plus | Limited | fair | 8B model fits but runs at 1.1 to 5.7 tok/s |
| DXP8800 Ultra | Limited | fair | 8B model fits but runs at 1.1 to 5.7 tok/s |
| TS-264 | Limited | fair | 8B model fits but runs at 1.0 to 3.5 tok/s · add RAM › |
| TS-464 | Limited | fair | 8B model fits but runs at 1.0 to 3.5 tok/s · add RAM › |
| F2-425 | Limited | fair | Needs 8 GB of RAM for an 8B model (ships with 4 GB) · add RAM › |
| F4-425 | Limited | fair | Needs 8 GB of RAM for an 8B model (ships with 4 GB) · add RAM › |
| DXP2800 | Limited | fair | 8B model fits but runs at 1.0 to 5.5 tok/s · add RAM › |
| DXP4800 | Limited | fair | 8B model fits but runs at 1.0 to 5.5 tok/s · add RAM › |
| TVS-AIh1688ATX | Limited | n/a | 8B model fits; not enough published data to estimate speed |
| DS1525+ | Limited | n/a | 8B model fits; not enough published data to estimate speed · add RAM › |
| DS923+ | Limited | n/a | Needs 8 GB of RAM for an 8B model (ships with 4 GB) · add RAM › |
| DS925+ | Limited | n/a | Needs 8 GB of RAM for an 8B model (ships with 4 GB) · add RAM › |
| DS224+ | No | fair | An 8B model does not fit in 6 GB · add RAM › |
| DS423+ | No | fair | An 8B model does not fit in 6 GB · add RAM › |
| TS-233 | No | n/a | No container platform for Ollama |
| DH2300 | No | n/a | An 8B model does not fit in 4 GB |
Picked a box? Check a specific NAS and model in the AI NAS calculator ›
Frequently asked questions
What is the best NAS for Ollama in Canada?
The one with the most memory bandwidth you can buy here. Among NAS units sold in Canada, the Minisforum N5 MAX (256-bit memory, 64 GB) is the fastest, and the only one that runs a 70B model at a usable speed; the Minisforum N5 Pro with two RAM sticks is the balanced choice. Low-power N100 and ARM boxes run only small models slowly.
Does Ollama use the NPU on an AI NAS?
No. Ollama's hardware documentation lists NVIDIA (CUDA), AMD (ROCm), Apple (Metal) and Vulkan acceleration, and no NPU. The NPU TOPS figure on an AI NAS box does not change how fast Ollama chats; memory bandwidth does.
How much RAM does Ollama need on a NAS?
The model's download size plus about 1 GB, on top of what the NAS already uses. Llama 3.1 8B at Q4 is a 4.9 GB download and needs roughly 6 GB free at Ollama's default 4k context; Qwen3 32B needs about 22 GB; Llama 3.3 70B about 45 GB.
Can I run Ollama on a Synology NAS?
On an x86 Synology with Container Manager, yes, but the current Plus models are not built for it: the DS925+ ships with 4 GB, and Synology and AMD publish no memory speed for its Ryzen V1500B, so we cannot estimate its chat speed. A small model will run once you add RAM; for anything bigger, a separate Ollama box is the better plan.
Is Ollama on a NAS private?
Yes. The model runs on your hardware and prompts, files and chat history stay on your network. That is the main reason to run it at home rather than use a cloud chatbot.
Read more
- What can I run? The full NAS capability matrix
- The AI NAS calculator
- The best AI NAS in Canada
- Minisforum N5 Pro: specs and every configuration
- UGREEN NASync iDX6011 Pro: specs and availability
- All NAS buying guides

Devin Chua works out which drives, RAM and NVMe cache fit which NAS model at nasdrives.ca, and what the RAID choice means for usable capacity, checked against what is in stock on Amazon.ca.


