Products · QNAP · NAS

QNAP TS-h1277AXU-RP

Processor: AMD Ryzen 7000 series (desktop, incl. PRO 7645 / 7745)
Memory (RAM): 16, 32 or 192 GB
Launch price: $4,499
Released: 2023

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
AMD Ryzen 7000 series (desktop, incl. PRO 7645 / 7745)	16.0 GB	12.0 GB	83 GB/s	327 of 622	$4,499
AMD Ryzen 7000 series (desktop, incl. PRO 7645 / 7745)	32.0 GB	26.2 GB	83 GB/s	365 of 622	—
AMD Ryzen 7000 series (desktop, incl. PRO 7645 / 7745) · upgraded to the maker's maximum	192 GB	173 GB	83 GB/s	400 of 622	—

Specifications 16.0 GB configuration

Maker	QNAP
Type	NAS
Processor	AMD Ryzen 7000 series (desktop, incl. PRO 7645 / 7745) NAS (16 GB)
Memory (RAM)	16.0 GB
Usable for AI models	12.0 GB
Memory bandwidth	83 GB/s
FP16 compute	0.7 TFLOPS
Runs models on	CPU cores
Drive bays	12 x 3.5-inch SATA 6Gb/s, 3Gb/s + 2 x M.2 2280 PCIe Gen 5 x2 slots
NAS system	QuTS hero
Containers (Docker)	Yes
Virtual machines	Yes
Memory upgrade	DDR5 UDIMM · 4 slots · up to 192 GB per the maker · ECC
Graphics card options	PCIe: 3 ; Slot 1: Gen 4 x 4 ; Slot 2: Gen 4 x 8 or Gen 4 x 4. Maker-supported graphics cards: QNAP FAQ: graphics card supported in PCIe slot(s) 1, 2, 3; QNAP NVIDIA driver packages cover GTX 10 to RTX 40 (proprietary) and GTX 16 to RTX 50 / RTX PRO (open driver).
Notes	AMD Ryzen 7 7000 series 8-core/16-thread processor, burst up to 5.3 GHz or AMD Ryzen 5 7000 series 6-core/12-thread…. x86-64 with up to 192 GB RAM, Container Station and Virtualization Station, and a PCIe slot QNAP documents for graphics cards (GPU assigned to Container Station or passed to a VM).
Product page	www.qnap.com (opens in a new tab)

Running AI on the QNAP TS-h1277AXU-RP

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 12.0 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
Qsirch on-premises RAG / LLM Core	Runs open models (DeepSeek R1, Gemma 3, gpt-oss 20B, Mistral 7B, Phi-4) locally for RAG search. Requires an NVIDIA GPU assigned to Container Station; QNAP states CPU-only is not supported. Needs QuTS hero h5.2.1+ and Qsirch 6.0.0+.	On the NAS
QuAgent (beta) + AI Service Center (beta)	Conversational NAS assistant on QTS 6.1 / QuTS hero h6.1; uses either a cloud model or an on-premises model (compatible GPU recommended). QNAP lists x86 NAS "x74 series and above", TVS-AI and QAI series as supported.	On the NAS

Best LLMs for the QNAP TS-h1277AXU-RP 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Mellum2.1 Thinking (12B-A2.5B)JetBrains	`Q4_K_M`	9.1 GB	31.5 tok/s	Runs great
59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI)	`Q6_K`	8.3 GB	40.1 tok/s	Runs great
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Maple Preview (20B-A1B)DeepGrove	`Q3_K_M`	11.6 GB	61.2 tok/s	Runs welltight fit
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q4_K_M`	6.6 GB	19.5 tok/s	Runs well
67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	K2 Horizon 7BInstitute of Foundation Models	`Q3_K_M`	7.2 GB	12.6 tok/s	Runs well
50Fair quality (C) · 50 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	LFM2.5 8B-A1BLiquid AI	`Q5_K_M`	7.7 GB	41.4 tok/s	Runs great
51Fair quality (C) · 51 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	LFM2.5 24B-A2BLiquid AI	`Q2_K`	11.3 GB	49.8 tok/s	Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q4_K_M`	6.6 GB	19.5 tok/s	Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Kimi-VL A3B Thinking 2506Moonshot AI	`Q4_K_M`	11.8 GB	26.7 tok/s	Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Granite 4.2 8BIBM	`Q4_K_M`	8.3 GB	10.0 tok/s	Runs well

Best Image models for the QNAP TS-h1277AXU-RP 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`FP8`	10.2 GB	48 s	Slow
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q4 GGUF`	10.2 GB	6.1 min	Very slow
79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-Image TurboBaidu	`Q4 GGUF`	11.3 GB	3.4 min	Very slowtight fit
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`FP8`	8.5 GB	2.1 min	Slowencoder unloaded after use
76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Z-ImageAlibaba (Tongyi)	`Q4 GGUF`	10.1 GB	18.3 min	Very slow
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 9BBlack Forest Labs	`Q4 GGUF`	8.0 GB	2.0 min	Slowencoder unloaded after use

Best Video models for the QNAP TS-h1277AXU-RP 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
49Fair quality (C) · 49 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.	LTX-Video 2BLightricks	`FP8`	10.8 GB	20.1 min	Slowtight fit
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.	Bernini-R A14B (video generation + editing)ByteDance	`FP8`	10.7 GB	12.6 h	Very slowtight fit · CPU offload
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.	HY-OmniWeaving (8.3B, unified video)Tencent	`FP8`	7.8 GB	9.3 h	Very slowCPU offload
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	11.0 GB	48.3 min	Very slowtight fit
55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 T2V 1.3BAlibaba	`FP16`	8.4 GB	3.8 h	Very slowencoder unloaded after use

Best Decision models for the QNAP TS-h1277AXU-RP 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`F16`	3.8 GB	41 ms	Runs great
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 22MMeta	`Q8_0`	0.7 GB	95 ms	Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	318 ms	Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`Q8_0`	2.4 GB	725 ms	Slow
84Great quality (A) · 84 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.	Jina Reranker v3Jina AI	`Q8_0`	2.4 GB	725 ms	Slow
66Good quality (B) · 66 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.	GLiClass Base v3Knowledgator	`Q8_0`	0.8 GB	126 ms	Runs great
90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	`Q8_0`	6.1 GB	4.8 s	Very slow
74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	GLiClass ModernBERT Large v3Knowledgator	`Q8_0`	1.1 GB	260 ms	Runs well

Other products with the AMD Ryzen 7000 series (desktop, incl. PRO 7645 / 7745) NAS (16 GB)

AS7212RDXAsustor · NAS · 16 or 192 GB · $3,600Product page (opens in a new tab)
AS7216RDXAsustor · NAS · 16 or 192 GB · $4,600Product page (opens in a new tab)
AS7224RDXAsustor · NAS · 16 or 192 GB · $7,100Product page (opens in a new tab)
TVS-h1677AXQNAP · NAS · 16 or 192 GBProduct page (opens in a new tab)
TVS-h1277AXQNAP · NAS · 16 or 192 GBProduct page (opens in a new tab)
TVS-h877AXQNAP · NAS · 16 or 192 GBProduct 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.