Minisforum N5 Pro AI NAS

Configurations

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

Specifications 16.0 GB configuration

Maker	MMinisforum
Type	NAS
Processor	AMD Ryzen AI 9 HX PRO 370 / 375 NAS (16 GB)
Memory (RAM)	16.0 GB
Usable for AI models	12.0 GB
Memory bandwidth	90 GB/s
FP16 compute	23.8 TFLOPS
Runs models on	GPU (Vulkan)
Drive bays	5x 3.5/2.5in SATA (30TB each) + 3x M.2 NVMe (or 1x M.2 + 2x U.2 via adapter)
NAS system	MinisCloud OS
Containers (Docker)	Yes
Virtual machines	Yes
Memory upgrade	DDR5 SO-DIMM 5600 MT/s (ECC supported) · 2 slots · up to 96.0 GB per the maker · ECC
Graphics card options	PCIe: 1x internal PCIe x16 slot, PCIe 4.0 x4 electrical. External GPU: 1x OCuLink port (rear); 2x USB4. Maker-supported graphics cards: Maker page names NVIDIA Tesla P4 as compatible in the PCIe slot and mentions 'support for RTX 4060 Laptop GPU'; also claims an OCuLink eGPU speeds Stable Diffusion inference up to 3x.
Notes	AMD Ryzen AI 9 HX PRO 370. 12-core Zen 5 CPU, Radeon 890M iGPU and up to 96GB dual-channel DDR5, with Docker in MinisCloud OS or a replacement OS (Proxmox/TrueNAS/Windows). Runs small and mid-size models at CPU/iGPU speeds; large models are slow on dual-channel memory unless a GPU is added via PCIe slot or OCuLink.
Product page	store.minisforum.com (opens in a new tab)

Running AI on the Minisforum N5 Pro AI NAS

Yes, it runs AI models on the NAS itself. Models run on its GPU (Vulkan), 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

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

AI features from Minisforum

Best LLMs for the Minisforum N5 Pro AI NAS 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
B66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	JBMellum2.1 Thinking (12B-A2.5B)JetBrains	Q4_K_M	9.1 GB	39.7 tok/s	Runs great
A76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	IOK2 Horizon 7BInstitute of Foundation Models	Q4_K_M	8.3 GB	12.7 tok/s	Runs well
B59Good 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.	AGLing 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI)	Q6_K	8.3 GB	50.1 tok/s	Runs great
A74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	STSenseNova Loop 9B PreviewSenseTime	Q4_K_M	7.9 GB	11.9 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 81/100 (quality, fit, speed and memory use) sets the ranking.	XMiMo V2.6 Distill Qwen 9BXiaomi	Q4_K_M	7.6 GB	12.2 tok/s	Runs well
A73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.5 9BDeepReinforce	Q4_K_M	7.7 GB	11.9 tok/s	Runs well
A72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	Q4_K_M	7.7 GB	11.9 tok/s	Runs well
B58Good 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.	DGMaple Preview (20B-A1B)DeepGrove	Q3_K_M	11.6 GB	75.2 tok/s	Runs welltight fit
A71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.0 9BDeepReinforce	Q4_K_M	7.7 GB	11.9 tok/s	Runs well
B69Good quality (B) · 69 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	Q3_K_M	8.1 GB	12.4 tok/s	Runs well

Best Image models for the Minisforum N5 Pro AI NAS 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 4BBlack Forest Labs	FP8	10.2 GB	3.4 s	Runs great
A78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	Q4 GGUF	10.1 GB	11 s	Runs great
A84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX 3 Image KleinBlack Forest Labs	Q4 GGUF	10.2 GB	26 s	Runs well
A79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	BERNIE-Image TurboBaidu	Q4 GGUF	11.3 GB	15 s	Runs welltight fit
A78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 9BBlack Forest Labs	Q4 GGUF	8.0 GB	8.7 s	Runs greatencoder unloaded after use
B58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	LDreamShaper XL v2 TurboLykon	FP16	8.9 GB	5.0 s	Runs great

Best Video models for the Minisforum N5 Pro AI NAS 16.0 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 75/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-Video 2BLightricks	FP8	10.8 GB	86 s	Runs welltight fit
C44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	ZACogVideoX 2BZhipu AI	FP8	11.0 GB	3.4 min	Runs welltight fit
C53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	ZACogVideoX 5BZhipu AI	FP8	9.6 GB	10.8 min	Runs wellencoder unloaded after use
C53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	ZACogVideoX 5B I2VZhipu AI	FP8	10.2 GB	10.8 min	Runs wellencoder unloaded after use
B55Good quality (B) · 55 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.	Wan 2.1 T2V 1.3BAlibaba	FP16	8.4 GB	16.0 min	Slowencoder unloaded after use

Best Decision models for the Minisforum N5 Pro AI NAS 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	JAJina Reranker v3.5Jina AI	F16	3.0 GB	44 ms	Runs great
A84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	JAJina Reranker v3Jina AI	F16	3.0 GB	44 ms	Runs great
A82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Mmxbai-rerank-large v2Mixedbread	Q8_0	3.3 GB	75 ms	Runs great
A82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	LAd1 3BLiquid AI	Q8_0	4.9 GB	102 ms	Runs great
A+89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	Q6_K	5.2 GB	170 ms	Runs well
A80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	SAFRIDA-DecisionsSber AI	F16	2.4 GB	19 ms	Runs great
A80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	FGLiNER2.5 DecideFastino	F16	1.7 GB	13 ms	Runs great
A80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	AGLemonDecider 4BAnt Group (inclusionAI)	Q8_0	6.5 GB	75 ms	Runs great