32GB max RAM · 4 bays · 1GbE
AINAS Score 28
No verified UK price
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Can the QNAP TS-264 run local AI?
Only lightly. Expect 7B to 8B class models (Estimated) on the QNAP TS-264: Intel Celeron N5095 does the work with up to 16GB of memory, which is fine for experiments rather than a daily assistant.
Without any GPU option, the processor carries the whole inference load.
Local LLM support is documented by the manufacturer.
What is the TS-264 like?
The TS-264 is the two-bay version of the TS-464, with the same Celeron N5095, 8GB of memory expandable to 16GB, two M.2 slots and two 2.5GbE ports. The AI verdict is the same: a capable home NAS that can run tiny language models, but not one you would buy for that.
QNAP's guidance for Ollama on this class of hardware is 3B models at 8GB, and the 16GB ceiling plus a four-core Celeron means even a 7B model will be slow. There is no GPU path. The PCIe Gen3 x2 slot is there for a faster network card.
Its strengths are the QNAP software stack. QuMagie organises photos with local face and object recognition, Qsirch indexes documents, and the surveillance apps run well for a few cameras. It suits a small household or home office with modest storage needs. If you think you will grow into AI, spend more now on a system with a higher memory ceiling.
Current UK offers
Amazon UK
TS-264-8G
£479
Verified
In stock
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Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon.co.uk at the time of purchase will apply to the purchase of this product.
Key specifications
- OS
- QTS (QuTS hero switchable from QTS 5.2.1); QTS 6.1.0 / QuTS hero h6.1.0 listed
- Source: Manufacturer
- Docker
- Yes
- VM support
- Yes
- Released
- 2022
Can the TS-264 run local LLMs?
Each capability shows how it was confirmed: Verified by AINAS, Vendor confirmed, Community confirmed or Unverified.
| Capability | Supported | Evidence | Note |
|---|---|---|---|
| Local LLM | Limited | Vendor confirmed | QNAP Ollama guide: 8GB RAM for 3B models; 16GB max and no GPU support, so small CPU-only models. |
| Ollama | Yes | Vendor confirmed | Container Station Ollama tutorial for x86 QTS/QuTS hero NAS. |
| Open WebUI | Yes | Vendor confirmed | QNAP Open WebUI tutorial, QTS 5.2+. |
| RAG | Limited | Unverified | Qsirch RAG Search (beta) exists; not confirmed for this model. |
| AI search | Yes | Vendor confirmed | Qsirch AI Semantic Search needs 64-bit x86 and 8GB RAM. |
| GPU expansion | No | Vendor confirmed | PCIe Gen3 x2 slot only; no GPUs on compatibility list. |
| Hardware acceleration | Yes | Vendor confirmed | Intel UHD Graphics transcoding; Coral Edge TPU (4 TOPS) and Hailo-8 M.2 (26 TOPS) on AI accelerator list. |
| AI photos | Yes | Vendor confirmed | QuMagie AI photo management; face/object recognition with Edge TPU. |
| AI video | Yes | Vendor confirmed | QVR Face real-time facial recognition listed. |
| Surveillance AI | Yes | Vendor confirmed | QVR Surveillance 2 free + 6 on registration; QVR Pro 8 free (QTS). |
How much RAM does the TS-264 support?
Plan on upgrading. 8GB is fitted as standard, while the TS-264 accepts 16GB of DDR4 SODIMM, which is the difference between small models up to around 7B parameters and 7B to 8B class models (Estimated).
Our estimate for the biggest model that fits in 16GB is about 13B parameters at 4-bit, after setting aside 8GB for the system. Long context windows reduce that figure (Estimated).
Can you add a GPU to the TS-264?
A graphics card is not an option on the TS-264, which has neither a PCIe slot nor OCuLink. Inference runs on the CPU, with Intel UHD Graphics handling media tasks, so keep to small models.
Is the TS-264 suitable for RAG?
As the storage half of a RAG setup it works well; as the model host it is limited. Small embedding models run fine on the TS-264, while the answering model needs more compute than it has.
The manufacturer also provides AI search across your files (documented by the manufacturer), which covers simple document questions without setting up your own stack.
For network access it has 2 x 2.5GbE. Enough for light use; large imports will take a while.
Which TS-264 configurations are sold?
| Configuration | RAM | SSD | Notes |
|---|---|---|---|
| TS-264-8G | 8GB | None | Only configuration listed |
How is the TS-264 different from the TS-464?
The closest QNAP model by AINAS Score. Only the specifications that differ are listed.
- Drive bays: 2 on the TS-264, 4 on the TS-464
- Power supply: 60W on the TS-264, 90W on the TS-464
- AINAS Score: 31 on the TS-264, 32 on the TS-464
Who should buy the TS-264?
Best fit: small offices that need shared storage with private AI tools and room to grow. That is where the TS-264 scores highest (Business 34/100), followed by Home Lab (33/100).
Less suited to anyone who wants to run models larger than about 8B parameters and buyers who expect to add a graphics card later.
What are the alternatives to the TS-264?
Other AI Capable systems closest in price.
TS-264 questions
Can the TS-264 run Ollama?
Yes. Ollama support is documented by the manufacturer. See the capability table above for the source.
Does Open WebUI work on the TS-264?
Yes. Open WebUI support is documented by the manufacturer. See the capability table above for the source.
Does the TS-264 do AI photo recognition?
Yes. AI photos support is documented by the manufacturer. See the capability table above for the source.
Can the TS-264 run AI surveillance?
Yes. Surveillance AI support is documented by the manufacturer. See the capability table above for the source.
Does the TS-264 have hardware AI acceleration?
Yes. Hardware acceleration support is documented by the manufacturer. See the capability table above for the source.
How fast is the TS-264's network?
It has 2 x 2.5GbE built in, and the 1x PCIe Gen3 x2 (cards up to 190 mm, for NIC/M.2 cards) can take a faster network card. The fastest port is 2 x 2.5GbE.
Where do these specifications come from?
Every field records its source. Specifications were last checked on . Spot an error? Send a correction with a manufacturer link.