GMKtec NucBox G9

Configurations

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

Specifications 12.0 GB configuration

Maker	GMGMKtec
Type	NAS
Processor	Intel N150 NAS (12 GB)
Memory (RAM)	12.0 GB
Usable for AI models	8.4 GB
Memory bandwidth	38 GB/s
FP16 compute	0.2 TFLOPS
Runs models on	CPU cores
Drive bays	4x M.2 2280 NVMe (PCIe 3.0, 4 TB each, 16 TB official) + 64 GB eMMC
NAS system	Dual system: Windows 11 Pro
Containers (Docker)	Yes
Virtual machines	Yes
Memory upgrade	LPDDR5 4800 (on-board, soldered) · up to 16.0 GB per the maker · non-ECC
Availability	Discontinued (sold used or refurbished)
Notes	Intel N150 (Twin Lake, up to 3.6 GHz, 6 W). A 4-core N150 with 12 GB soldered single-channel RAM, weak cooling and no GPU path limits it to small (1-4B) quantized models on CPU.
Product page	www.gmktec.com (opens in a new tab)Discontinued

Running AI on the GMKtec NucBox G9

It can, with limits: expect small models only, at modest speed. Models run on its CPU cores, and this configuration leaves about 8.4 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

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

Best LLMs for the GMKtec NucBox G9 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A76Great quality (A) · 76 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.	IOK2 Horizon 7BInstitute of Foundation Models	Q4_K_M	8.0 GB	3.5 tok/s	Slowtight fit
B57Good 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.	AGLing 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI)	Q4_K_M	6.3 GB	22.4 tok/s	Runs well
A74Great quality (A) · 74 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.	XMiMo V2.6 Distill Qwen 9BXiaomi	Q4_K_M	7.3 GB	3.3 tok/s	Slowtight fit
A74Great quality (A) · 74 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.	STSenseNova Loop 9B PreviewSenseTime	Q4_K_M	7.6 GB	3.3 tok/s	Slowtight fit
A73Great quality (A) · 73 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.	DROrnith 1.5 9BDeepReinforce	Q4_K_M	7.4 GB	3.3 tok/s	Slowtight fit
A70Great quality (A) · 70 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.	ATMax 9BAi2	Q4_K_M	7.0 GB	3.5 tok/s	Slow
A72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	Q4_K_M	7.4 GB	3.3 tok/s	Slowtight fit
A71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.0 9BDeepReinforce	Q4_K_M	7.4 GB	3.3 tok/s	Slowtight fit
B58Good quality (B) · 58 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.	JBMellum2.1 Thinking (12B-A2.5B)JetBrains	Q3_K_M	7.3 GB	15.4 tok/s	Runs welltight fit
B69Good quality (B) · 69 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.	Gemma 4 12BGoogle	Q3_K_M	7.8 GB	3.4 tok/s	Slowtight fit

Best Image models for the GMKtec NucBox G9 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+89Excellent quality (A+) · 89 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX 3 Image KleinBlack Forest Labs	FP8	7.9 GB	18.4 min	Very slowtight fit · encoder unloaded after use
A76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 4BBlack Forest Labs	FP8	6.2 GB	3.2 min	Very slowencoder unloaded after use
A78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	Q4 GGUF	6.1 GB	10.7 min	Very slowencoder unloaded after use
A81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	BERNIE-ImageBaidu	Q4 GGUF	7.4 GB	1.6 h	Very slowtight fit · encoder unloaded after use
A78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 9BBlack Forest Labs	Q4 GGUF	8.0 GB	7.7 min	Very slowtight fit · encoder unloaded after use
A81Great quality (A) · 81 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	OMMOSS-Image SFTOpenMOSS	Q8 GGUF	7.8 GB	57.7 min	Very slowtight fit · encoder unloaded after use

Best Video models for the GMKtec NucBox G9 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
C49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-Video 2BLightricks	FP8	6.1 GB	80.6 min	Very slowencoder unloaded after use
A74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.	THY-OmniWeaving (8.3B, unified video)Tencent	FP8	7.8 GB	35.2 h	Very slowtight fit · CPU offload
C53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 T2V 1.3BAlibaba	FP8	7.1 GB	12.9 h	Very slowtight fit · encoder unloaded after use
C53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 VACE 1.3BAlibaba	FP8	8.0 GB	14.0 h	Very slowtight fit · encoder unloaded after use
D35Basic 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.	SAAnimateDiff v3 (SD 1.5)Shanghai AI Lab	FP16	4.7 GB	68.2 min	Very slow

Best Decision models for the GMKtec NucBox G9 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A78Great 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.	OAOpenAI Privacy FilterOpenAI	Q8_0	2.4 GB	197 ms	Runs well
A+90Excellent quality (A+) · 90 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.	Qwen3 Reranker 4BAlibaba	Q8_0	5.8 GB	28.8 s	Very slow
A+86Excellent quality (A+) · 86 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.	JAJina Reranker v3.5Jina AI	Q8_0	2.1 GB	4.3 s	Very slow
A+88Excellent quality (A+) · 88 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.	ZEzerank-2ZeroEntropy	Q8_0	5.8 GB	28.8 s	Very slow
A84Great 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.	JAJina Reranker v3Jina AI	Q8_0	2.1 GB	4.3 s	Very slow
A+89Excellent quality (A+) · 89 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.	Qwen3 Reranker 8BAlibaba	Q6_K	8.3 GB	58.6 s	Very slowtight fit
A+86Excellent quality (A+) · 86 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.	Shieldstral 1.0 3BMistral AI	Q8_0	5.6 GB	27.6 s	Very slow
A80Great 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.	FGLiNER2.5 DecideFastino	Q8_0	1.2 GB	1.9 s	Very slow

Other products with the Intel N150 NAS (12 GB)

• NestDiskYYouyeetoo · NAS · 12 GB · $303Product page (opens in a new tab)
• ME mini (Intel N95 / N150)BBeelink · NAS · 12 or 16 GB · $525Product page (opens in a new tab)
• ME Pro (Intel N95 / N150)BBeelink · NAS · 12 or 16 GB · $379Product page (opens in a new tab)