32GB max RAM · 4 bays · 2 x 2.5GbE
AINAS Score 29
£659.28
Amazon UK · Verified
Can the QNAP TS-464 run local AI?
The QNAP TS-464 can run small local models, with limits. Its Intel Celeron N5095 and 16GB memory ceiling suit 7B to 8B class models (Estimated), so treat it as a storage-first NAS that can host light AI tools.
There is no way to add a discrete GPU, so all inference runs on the CPU and basic integrated graphics.
Local LLM support is documented by the manufacturer.
What is the TS-464 like?
The TS-464 is a widely sold four-bay NAS built for storage first, with QNAP's full app suite. For local AI, though, it belongs in the AI Capable class only just. The Celeron N5095 has four cores, no NPU, and memory stops at 16GB.
QNAP's own Ollama guide says 8GB is enough for 3B models and 16GB for 7B, which sets the ceiling clearly: small models, slow responses, on the CPU only. There is no route to a GPU; the PCIe Gen3 x2 slot is for network or M.2 cards.
Where it does AI well is photos and video. QuMagie face and object recognition runs locally, the surveillance suite supports AI features, and Qsirch semantic search works on the 8GB model. Two 2.5GbE ports and two M.2 slots round it out. Buy it for a family or small office that wants reliable storage with smart photo and camera features, not for running language models.
Current UK offers
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TS-464-8G
£636
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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-464 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 for 7B; 16GB max and no GPU support, so small models on CPU only. |
| 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 (8G model qualifies, 4G model does not without upgrade). |
| 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 face and object recognition, faster with Edge TPU. |
| AI video | Yes | Vendor confirmed | QVR Face real-time facial recognition listed on product page. |
| Surveillance AI | Yes | Vendor confirmed | QVR Surveillance 2 free + 6 on registration; QVR Pro 8 free (QTS). |
How much RAM does the TS-464 support?
The TS-464 ships with 8GB of DDR4 SODIMM and supports up to 16GB. Upgrading to the maximum lifts the model ceiling from small models up to around 7B parameters to 7B to 8B class models (both Estimated).
As a rule of thumb, a 4-bit model needs about 0.6GB per billion parameters plus room for context. After leaving around 8GB for the NAS operating system, 16GB leaves space for a model of roughly 13B parameters at most (Estimated).
Can you add a GPU to the TS-464?
No. The TS-464 has no PCIe slot or OCuLink port for a graphics card. Inference runs on the CPU, with Intel UHD Graphics handling media tasks, so keep to small models.
Is the TS-464 suitable for RAG?
With limits. The TS-464 can host a small RAG stack such as AnythingLLM or Open WebUI with a compact embedding model, but memory and compute restrict how large the answering model can be. It suits a personal document library more than a team knowledge base.
The manufacturer also provides AI search across your files (documented by the manufacturer), which covers simple document questions without setting up your own stack.
Networking is 2 x 2.5GbE. Fine for one or two users; indexing a large archive over the network will be slower.
Which TS-464 configurations are sold?
| Configuration | RAM | SSD | Notes |
|---|---|---|---|
| TS-464-4G | 4GB | None | Listed on spec page; not found on UK store. |
| TS-464-8G | 8GB | None | The configuration sold in the UK |
How is the TS-464 different from the TS-264?
The closest QNAP model by AINAS Score. Only the specifications that differ are listed.
- Drive bays: 4 on the TS-464, 2 on the TS-264
- Power supply: 90W on the TS-464, 60W on the TS-264
- AINAS Score: 32 on the TS-464, 31 on the TS-264
Who should buy the TS-464?
The TS-464 scores best for Home Lab (36/100) and Business (35/100). It suits home lab owners who want one box for storage, containers, media and a few AI services.
It is a weaker fit for anyone who wants to run models larger than about 8B parameters and for buyers who expect to add a graphics card later.
What are the alternatives to the TS-464?
Other AI Capable systems closest in price.
TS-464 questions
Does Ollama work on the TS-464?
Yes. Ollama support is documented by the manufacturer. See the capability table above for the source.
Can you install Open WebUI on the TS-464?
Yes. Open WebUI support is documented by the manufacturer. See the capability table above for the source.
Can the TS-464 sort photos by faces and objects?
Yes. AI photos support is documented by the manufacturer. See the capability table above for the source.
Is the TS-464 good for AI camera recording?
Yes. Surveillance AI support is documented by the manufacturer. See the capability table above for the source.
Is there hardware acceleration for AI on the TS-464?
Yes. Hardware acceleration support is documented by the manufacturer. See the capability table above for the source.
What networking does the TS-464 have?
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.