QNAP TVS-972XU-RP

Products · · NAS

QNAP TVS-972XU-RP

Processor
Intel Core i3-8100 / Pentium (8th gen desktop)
Memory (RAM)
4 or 64 GB
Released
2018

Product page (opens in a new tab)Discontinued 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 Core i3-8100 / Pentium (8th gen desktop) 4.0 GB 2.0 GB 43 GB/s 65 of 622 —
Intel Core i3-8100 / Pentium (8th gen desktop) · upgraded to the maker's maximum 64.0 GB 54.4 GB 43 GB/s 203 of 622 —

Specifications 4.0 GB configuration

MakerQNAP
TypeNAS
ProcessorIntel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB)
Memory (RAM)4.0 GB
Usable for AI models2.0 GB
Memory bandwidth43 GB/s
FP16 compute0.2 TFLOPS
Runs models onCPU cores
Drive bays4 x 3.5-inch + 5 x 2.5-inch SATA 6Gb/s, 3Gb/s
NAS systemQTS
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR4 UDIMM · 4 slots · up to 64.0 GB per the maker
Graphics card optionsPCIe: 1 ; Slot 1: PCIe Gen 3 x16. Maker-supported graphics cards: QNAP FAQ: graphics card supported in PCIe slot(s) 1; QNAP NVIDIA driver packages cover GTX 10 to RTX 40 (proprietary) and GTX 16 to RTX 50 / RTX PRO (open driver).
AvailabilityDiscontinued (sold used or refurbished)
NotesIntel Core i3-8100 4-core 3.6 GHz Processor. x86-64 with up to 64 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 pagewww.qnap.com (opens in a new tab)Discontinued

Running AI on the QNAP TVS-972XU-RP

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 2.0 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

AppHow 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

FeatureWhat it doesWhere 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
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 TVS-972XU-RP 4.0 GB

Quality Model Quant Memory Speed Runs
53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7BLiquid AI Q4_K_M 1.9 GB 16.8 tok/s Runs welltight fit
39Basic quality (D) · 39 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. PaddleOCR-VL 1.6 0.9BBaidu Q4_K_M 1.5 GB 30.3 tok/s Runs great
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3BOpenBMB Q4_K_M 1.7 GB 22.4 tok/s Runs well
42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q3_K_M 1.8 GB 19.6 tok/s Runs welltight fit
34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 1BOpenBMB Q4_K_M 1.6 GB 27.0 tok/s Runs well
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 1BOpenBMB Q3_K_M 1.6 GB 24.3 tok/s Runs well
26Basic quality (D) · 26 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 1.2B InstructLiquid AI Q3_K_M 1.4 GB 32.2 tok/s Runs great
24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 0.8BAlibaba Q4_K_M 1.4 GB 33.5 tok/s Runs great
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. TMax 2BAi2 Q3_K_M 1.8 GB 20.0 tok/s Runs welltight fit
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 2BAlibaba Q3_K_M 2.0 GB 16.6 tok/s Runs welltight fit

Best Image models for the QNAP TVS-972XU-RP 4.0 GB

Quality Model Quant Memory Speed Runs
39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. SDXL TurboStability AI FP8 1.6 GB 29 s Runs wellCPU offload
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. SD TurboStability AI FP16 1.3 GB 17 s Runs wellCPU offload
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. Realistic Vision V5.1SG161222 FP16 1.3 GB 4.3 min Very slowCPU offload
40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper 8Lykon FP16 1.3 GB 4.3 min Very slowCPU offload
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. LCM DreamShaper v7Tsinghua (LCM) FP16 1.3 GB 54 s SlowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. Stable Diffusion 1.5Stability AI / Runway FP16 1.3 GB 4.3 min Very slowCPU offload

Best Video models for the QNAP TVS-972XU-RP 4.0 GB

None of the video models in our catalog fit in this much memory.

Best Decision models for the QNAP TVS-972XU-RP 4.0 GB

Quality Model Quant Memory Speed Runs
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 1.6 GB 3.9 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 1.6 GB 3.9 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 1.7 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 2.9 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. Qwen3 Reranker 0.6BAlibaba Q8_0 1.6 GB 3.9 s Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86MMeta Q8_0 1.0 GB 2.0 s Very slow
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 498 ms Slow
74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. GLiClass ModernBERT Large v3Knowledgator Q8_0 1.1 GB 1.4 s Very slow

Other products with the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (4 GB)

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.

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