Products · QNAP · NAS

QNAP TS-h1655XeU-RP

Processor: Intel Atom C5125
Memory (RAM): 8 or 64 GB
Released: 2025

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration	Memory	Usable for AI	Bandwidth	LLMs that run well	Launch price
Intel Atom C5125	8.0 GB	5.2 GB	24 GB/s	108 of 622	—
Intel Atom C5125 · upgraded to the maker's maximum	64.0 GB	54.4 GB	24 GB/s	148 of 622	—

Specifications 8.0 GB configuration

Maker	QNAP
Type	NAS
Processor	Intel Atom C5125 NAS (8 GB)
Memory (RAM)	8.0 GB
Usable for AI models	5.2 GB
Memory bandwidth	24 GB/s
FP16 compute	0.2 TFLOPS
Runs models on	CPU cores
Drive bays	12 x 3.5-inch SATA 6Gb/s, 3Gb/s + 4 x E1.S/M.2 PCIe Gen3 x2 slots
NAS system	QuTS hero
Containers (Docker)	Yes
Virtual machines	Yes
Memory upgrade	DDR4 SODIMM · 2 slots · up to 64.0 GB per the maker · ECC
Graphics card options	PCIe: 2 x PCIe Gen3 (x4) ; Slot 1: PCIe Gen 3 (x4) ; Slot 2: PCIe Gen 3 (x4).
Notes	Intel Atom C5125 8-core processor, 2.8GHz. x86-64 with up to 64 GB RAM and Container Station; Ollama runs CPU-only per QNAP's tutorial (>=8 GB for 3B, >=16 GB for 7B models). QNAP does not list a GPU-capable slot for this model, so its own on-prem Qsirch LLM (GPU required) is not available. No token speeds published.
Product page	www.qnap.com (opens in a new tab)

Running AI on the QNAP TS-h1655XeU-RP

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 5.2 GB for them after the NAS system and its storage services. The grades below assume the NAS isn’t busy with backups or media work at the same time. More memory is the upgrade that matters most: see the configurations.

Apps you can install to run models

App	How it installs
Ollama	In a container (Docker)
Open WebUI	In a container (Docker)

Apps that run LLMs on a NAS, with their container images

AI features from QNAP

Feature	What it does	Where the AI runs
QuMagie + QNAP AI Core	Photo management with on-device face, object and scene recognition (QNAP AI Core image-recognition engine).	On the NAS
Qsirch AI Semantic Search	Natural-language/semantic file and image search computed locally; QNAP requires a 64-bit x86 NAS with at least 8 GB RAM.	On the NAS
Qsirch RAG Search (cloud LLM mode)	Chat with NAS files using a cloud LLM (Gemini, OpenAI, Azure OpenAI or OpenAI-compatible API); the model runs remotely.	Cloud service or another computer
AI Service Center (beta) cloud models	Central hub for connecting NAS apps to cloud models (OpenAI, Azure OpenAI, Gemini, Claude, OpenAI-compatible); local model library is limited to x86 NAS with a tested GPU (third-party report).	Cloud service or another computer

Best LLMs for the QNAP TS-h1655XeU-RP 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron Labs Dory 1.0 4BNVIDIA	`Q5_K_M`	4.3 GB	4.2 tok/s	Slow
64Good quality (B) · 64 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	Spark-X2.6 4BSparkLLM	`Q5_K_M`	4.2 GB	4.0 tok/s	Slow
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q4_K_M`	5.0 GB	4.8 tok/s	Slowtight fit
50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI)	`Q3_K_M`	5.1 GB	18.7 tok/s	Runs welltight fit
41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	Unlimited OCR 2 (3B-A0.6B)Baidu	`Q4_K_M`	3.6 GB	30.0 tok/s	Runs great
58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 4BAlibaba	`Q4_K_M`	4.1 GB	4.3 tok/s	Slow
52Fair quality (C) · 52 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E2BGoogle	`Q3_K_M`	3.6 GB	11.3 tok/s	Runs well
59Good quality (B) · 59 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	TMax 4BAi2	`Q5_K_M`	4.3 GB	3.9 tok/s	Slow
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q3_K_M`	5.1 GB	5.8 tok/s	Slowtight fit
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	Agents-A1 4BInternScience	`Q4_K_M`	4.1 GB	4.4 tok/s	Slow

Best Image models for the QNAP TS-h1655XeU-RP 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
90Excellent quality (A+) · 90 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q8 GGUF`	4.3 GB	29.1 min	Very slowCPU offload
72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`Q4 GGUF`	4.6 GB	4.3 min	Very slowtight fit · encoder unloaded after use
39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.	SDXL TurboStability AI	`FP8`	4.2 GB	28 s	Runs well
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`FP8`	4.4 GB	10.0 min	Very slowCPU offload
81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-ImageBaidu	`Q4 GGUF`	4.1 GB	2.0 h	Very slowCPU offload
81Great quality (A) · 81 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	MOSS-Image SFTOpenMOSS	`Q8 GGUF`	4.1 GB	71.4 min	Very slowCPU offload

Best Video models for the QNAP TS-h1655XeU-RP 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	4.7 GB	68.2 min	Very slowtight fit
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	4.0 GB	1.7 h	Very slowCPU offload
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	4.7 GB	4.0 h	Very slowtight fit · CPU offload

Best Decision models for the QNAP TS-h1655XeU-RP 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`Q8_0`	2.4 GB	190 ms	Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`Q8_0`	1.9 GB	4.2 s	Very slow
87Excellent quality (A+) · 87 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	`Q5_K_M`	4.2 GB	27.7 s	Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`Q8_0`	1.9 GB	4.2 s	Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	1.8 s	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	zerank-2ZeroEntropy	`Q5_K_M`	4.2 GB	27.7 s	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Shieldstral 1.0 3BMistral AI	`Q6_K`	4.4 GB	26.6 s	Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	FRIDA-DecisionsSber AI	`Q8_0`	1.7 GB	3.0 s	Very slow

Other products with the Intel Atom C5125 NAS (8 GB)

TS-855XQNAP · NAS · 8 or 128 GBProduct page (opens in a new tab)
TS-1655QNAP · NAS · 8 or 128 GBProduct page (opens in a new tab)
TS-855eU-RPQNAP · NAS · 8 or 64 GBProduct page (opens in a new tab)
TS-855eUQNAP · NAS · 8 or 64 GB · $1,699Product page (opens in a new tab)

Spec sources

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.