Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake)

Configurations

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

Specifications 64.0 GB configuration

Maker	BBeelink
Type	NAS
Processor	Intel Core 3 304 / Core 5 320 NAS (64 GB) · upgraded to the maker's maximum
Memory (RAM)	64.0 GB
Usable for AI models	54.4 GB
Memory bandwidth	51 GB/s
FP16 compute	0.4 TFLOPS
Runs models on	CPU cores
Drive bays	2x SATA 2.5/3.5-inch + 1x M.2 2280 NVMe (PCIe 4.0 x1) + 512 GB UFS 3.1 system drive
NAS system	Windows 11 Pro preinstalled; no maker NAS OS
Containers (Docker)	Yes
Virtual machines	Yes
Memory upgrade	DDR5-5600 SO-DIMM · 1 slot · up to 64.0 GB per the maker · non-ECC
Graphics card options	External GPU: 2x Thunderbolt 4 (40 Gbps); external GPU enclosure possible but not listed or tested by Beelink.
Notes	Intel Core 3 304 (Wildcat Lake, up to 4.3 GHz). Up to 64 GB DDR5 in one SO-DIMM plus an NPU, Xe iGPU and Thunderbolt 4 eGPU option let it run 7-14B quantized models, though single-channel memory and 5 cores keep CPU speeds modest.
Product page	www.bee-link.com (opens in a new tab)

Running AI on the Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake)

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 54.4 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 Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	Q6_K	34.6 GB	10.7 tok/s	Runs well
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	Q6_K	34.6 GB	10.7 tok/s	Runs well
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	Q6_K	34.0 GB	10.7 tok/s	Runs well
A+89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	RFlint (40B-A2.5B)Recursive	Q6_K	37.8 GB	12.7 tok/s	Runs well
A+91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	NANex N2 Mini (35B-A3B)Nex-AGI	Q6_K	33.9 GB	10.7 tok/s	Runs well
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	ISSage-A1.5 35B-A3BInternScience	Q6_K	34.6 GB	10.7 tok/s	Runs well
A+89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.5 35B-A3BDeepReinforce	Q6_K	34.6 GB	10.7 tok/s	Runs well
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	KKAT-Coder V2.5 Dev (35B-A3B)Kuaishou	Q6_K	33.5 GB	10.7 tok/s	Runs well
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	AApodex 1.1 Mini (35B-A3B)Apodex	Q6_K	34.6 GB	10.7 tok/s	Runs well
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.0 35B-A3BDeepReinforce	Q6_K	34.6 GB	10.7 tok/s	Runs well

Best Image models for the Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	KKrea 2 TurboKrea	FP16	37.4 GB	7.0 min	Very slow
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen-Image 2.1Alibaba	Q8 GGUF	41.6 GB	1.9 h	Very slow
A84Great quality (A) · 84 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.	BFFLUX.2 [klein] 9BBlack Forest Labs	FP16	37.1 GB	2.9 min	Very slow
A+89Excellent quality (A+) · 89 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Qwen-Image 2512Alibaba	Q8 GGUF	36.5 GB	2.8 h	Very slow
A+88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	BERNIE-ImageBaidu	FP16	34.0 GB	36.0 min	Very slow
A+93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	BAFibo 2.0 DevBria AI	FP16	27.7 GB	36.8 min	Very slow

Best Video models for the Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.3Lightricks	Q8 GGUF	45.6 GB	12.5 h	Very slow
A+87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.5 (22B, video + audio)Lightricks	Q8 GGUF	49.8 GB	2.9 h	Very slowtight fit
A+85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	BDBernini-R A14B (video generation + editing)ByteDance	FP16	46.0 GB	19.6 h	Very slow
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 I2V A14BAlibaba	Q8 GGUF	39.3 GB	50.1 h	Very slow
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 T2V A14BAlibaba	Q8 GGUF	39.3 GB	50.1 h	Very slow

Best Decision models for the Beelink ME Pro 2-Bay AI NAS (Intel Core 3 304, Wildcat Lake) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A78Great 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.	OAOpenAI Privacy FilterOpenAI	F16	3.8 GB	77 ms	Runs great
A+86Excellent quality (A+) · 86 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.	JAJina Reranker v3.5Jina AI	Q8_0	5.8 GB	1.4 s	Very slow
A+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	9.5 GB	9.5 s	Very slow
A80Great quality (A) · 80 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.	FGLiNER2.5 DecideFastino	Q8_0	1.2 GB	624 ms	Slow
A84Great 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.	JAJina Reranker v3Jina AI	Q8_0	5.8 GB	1.4 s	Very slow
B68Good quality (B) · 68 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.	Llama Prompt Guard 2 22MMeta	Q8_0	0.7 GB	184 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 8BAlibaba	Q8_0	13.9 GB	19.4 s	Very slow
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.	SSkywork Reward V2 Llama 3.1 8BSkywork	Q8_0	10.4 GB	37.9 s	Very slow