Products · TerraMaster · NAS

TerraMaster U4-500

Processor: Intel Core i3-1215U / i3-1315U
Memory (RAM): 8 or 64 GB
Launch price: $900
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 Core i3-1215U / i3-1315U	8.0 GB	5.2 GB	38 GB/s	152 of 622	$900
Intel Core i3-1215U / i3-1315U · upgraded to the maker's maximum	64.0 GB	54.4 GB	38 GB/s	216 of 622	—

Specifications 8.0 GB configuration

Maker	TerraMaster
Type	NAS
Processor	Intel Core i3-1215U / i3-1315U NAS (8 GB)
Memory (RAM)	8.0 GB
Usable for AI models	5.2 GB
Memory bandwidth	38 GB/s
FP16 compute	0.3 TFLOPS
Runs models on	CPU cores
Drive bays	4x SATA + 2x M.2 NVMe (PCIe 4.0 x4, rackmount)
NAS system	TOS 6
Containers (Docker)	Yes
Virtual machines	Yes
Memory upgrade	DDR5 SODIMM (non-ECC) · 2 slots · up to 64.0 GB per the maker · non-ECC
Notes	Intel Core i3-1215U. CPU only (12th/13th-gen Core U-series) with two memory slots up to 64 GB, so 7B-14B quantised models fit after a memory upgrade. No GPU support statement and no tokens-per-second benchmark was found.
Product page	www.terra-master.com (opens in a new tab)

Running AI on the TerraMaster U4-500

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 TerraMaster

Feature	What it does	Where the AI runs
Terra Photos (TerraMaster Photos)	Photo library with face and scene recognition; the maker says the AI processing uses a local model on the NAS. This is an image classifier, not a chat model.	On the NAS

Best LLMs for the TerraMaster U4-500 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
58Good quality (B) · 58 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.	Gemma 4 E2BGoogle	`Q4_K_M`	4.2 GB	17.1 tok/s	Runs well
50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (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	34.7 tok/s	Runs welltight fit
43Fair quality (C) · 43 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Unlimited OCR 2 (3B-A0.6B)Baidu	`Q6_K`	4.3 GB	39.0 tok/s	Runs great
57Good quality (B) · 57 of 100: how capable the model is at Q3_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	`Q3_K_M`	3.4 GB	12.8 tok/s	Runs well
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q3_K_M`	5.1 GB	11.3 tok/s	Runs welltight fit
55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	Spark-X2.6 4BSparkLLM	`Q3_K_M`	3.3 GB	12.4 tok/s	Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q3_K_M`	4.5 GB	12.2 tok/s	Runs welltight fit
57Good quality (B) · 57 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.	MiniCPM5 2BOpenBMB	`Q4_K_M`	2.9 GB	15.6 tok/s	Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q3_K_M`	5.1 GB	11.3 tok/s	Runs welltight fit
39Basic quality (D) · 39 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Unlimited OCR (3B-A0.6B)Baidu	`Q6_K`	4.3 GB	39.0 tok/s	Runs great

Best Image models for the TerraMaster U4-500 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`Q4 GGUF`	4.6 GB	2.9 min	Very slowtight fit · encoder unloaded after use
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	19.8 min	Very slowCPU offload
39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	SDXL TurboStability AI	`FP8`	4.2 GB	19 s	Runs well
82Great quality (A) · 82 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.	Z-Image TurboAlibaba (Tongyi)	`FP8`	4.4 GB	6.8 min	Very slowCPU offload
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.	SD TurboStability AI	`FP16`	3.3 GB	11 s	Runs great
78Great quality (A) · 78 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.	FLUX.2 [klein] 9BBlack Forest Labs	`Q4 GGUF`	4.3 GB	6.5 min	Very slowCPU offload

Best Video models for the TerraMaster U4-500 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 57/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	4.7 GB	46.5 min	Very slowtight fit
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	4.0 GB	68.0 min	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	2.7 h	Very slowtight fit · CPU offload

Best Decision models for the TerraMaster U4-500 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 88/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`Q8_0`	2.4 GB	97 ms	Runs great
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	2.1 s	Very slow
84Great quality (A) · 84 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 v3Jina AI	`Q8_0`	1.9 GB	2.1 s	Very slow
80Great quality (A) · 80 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.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	913 ms	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	13.8 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.	FRIDA-DecisionsSber AI	`Q8_0`	1.7 GB	1.5 s	Very slow
68Good quality (B) · 68 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.	Llama Prompt Guard 2 22MMeta	`Q8_0`	0.7 GB	267 ms	Runs well
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	13.8 s	Very slow

Other products with the Intel Core i3-1215U / i3-1315U NAS (8 GB)

TS-h966TXQNAP · NAS · 8 or 64 GBProduct page (opens in a new tab)
F6-425 ProTerraMaster · NAS · 8 or 64 GB · $1,000Product page (opens in a new tab)
NASync DXP4800 ProUGREEN · NAS · 8 or 96 GB · $680Product page (opens in a new tab)
NASync DXP6800 PlusUGREEN · NAS · 8 or 64 GBProduct page (opens in a new tab)
NASync DXP8800UGREEN · NAS · 8 or 64 GBProduct page (opens in a new tab)
ZimaCube 2 (Standard)IceWhale · NAS · 8 or 64 GB · $799Product 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.