UnifyDrive UP6

Configurations

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

Specifications 96.0 GB configuration

Running AI on the UnifyDrive UP6

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 83.5 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 UnifyDrive

Best LLMs for the UnifyDrive UP6 96.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	AAKolibri 1 (78B-A3.5B)Aleph Alpha	Q4_K_M	55.1 GB	20.9 tok/s	Runs well
A81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Coder Next (80B-A3B)Alibaba	Q4_K_M	56.1 GB	23.9 tok/s	Runs well
A81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3-Next 80B-A3B ThinkingAlibaba	Q4_K_M	57.1 GB	23.9 tok/s	Runs well
A79Great quality (A) · 79 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Next 80B-A3B InstructAlibaba	Q4_K_M	57.1 GB	23.9 tok/s	Runs well
A84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	OAgpt-oss 120BOpenAI	MXFP4	74.2 GB	15.5 tok/s	Runs welltight fit
A+85Excellent quality (A+) · 85 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.	RFlint (40B-A2.5B)Recursive	Q4_K_M	31.8 GB	28.2 tok/s	Runs well
A+88Excellent quality (A+) · 88 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.	Qwen3.6 35B-A3BAlibaba	Q4_K_M	29.4 GB	23.9 tok/s	Runs well
A+88Excellent quality (A+) · 88 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.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	Q4_K_M	28.9 GB	23.9 tok/s	Runs well
A+88Excellent quality (A+) · 88 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.	Qwen3.5 35B-A3BAlibaba	Q4_K_M	29.4 GB	23.9 tok/s	Runs well
A+87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	NANex N2 Mini (35B-A3B)Nex-AGI	Q4_K_M	28.9 GB	23.9 tok/s	Runs well

Best Image models for the UnifyDrive UP6 96.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen-Image 2.1Alibaba	FP16	57.0 GB	64.4 min	Very slow
A+92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	IIdeogram 4Ideogram	FP16	57.3 GB	26.9 min	Very slow
A+91Excellent quality (A+) · 91 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [dev]Black Forest Labs	Q8 GGUF	61.9 GB	44.5 min	Very slow
A+90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	Cosmos3-Super Text2Image (64B)NVIDIA	FP8	69.1 GB	38.7 min	Very slow
A+90Excellent quality (A+) · 90 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.	Qwen-Image 2512Alibaba	FP16	63.8 GB	1.6 h	Very slow
A+91Excellent quality (A+) · 91 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	MMMiniMax H3 ImageMiniMax	FP8	72.0 GB	9.7 min	Very slowtight fit

Best Video models for the UnifyDrive UP6 96.0 GB

Quality	Model	Quant	Memory	Speed	Runs
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.	MMMiniMax H3 (33B, video + audio)MiniMax	Q8 GGUF	68.2 GB	21.4 h	Very slow
A+87Excellent quality (A+) · 87 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.	LLTX-2.5 (22B, video + audio)Lightricks	Q8 GGUF	49.8 GB	1.9 h	Very slow
A+86Excellent quality (A+) · 86 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.	Wan 2.2 I2V A14BAlibaba	FP16	58.0 GB	28.6 h	Very slow
A+86Excellent quality (A+) · 86 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.	Wan 2.2 T2V A14BAlibaba	FP16	58.0 GB	28.6 h	Very slow
A84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	THunyuanVideo 1.5 (8.3B)Tencent	FP16	55.2 GB	32.2 h	Very slow

Best Decision models for the UnifyDrive UP6 96.0 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	49 ms	Runs great
B68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 22MMeta	Q8_0	0.7 GB	115 ms	Runs great
A+86Excellent quality (A+) · 86 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.	JAJina Reranker v3.5Jina AI	Q8_0	8.2 GB	880 ms	Slow
A80Great quality (A) · 80 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.	FGLiNER2.5 DecideFastino	Q8_0	1.2 GB	386 ms	Runs well
A84Great quality (A) · 84 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 v3Jina AI	Q8_0	8.2 GB	880 ms	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	11.8 GB	5.9 s	Very slow
A80Great quality (A) · 80 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.	SAFRIDA-DecisionsSber AI	Q8_0	1.7 GB	643 ms	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.	Qwen3 Reranker 8BAlibaba	Q8_0	16.3 GB	12.0 s	Very slow

Other products with the Intel Core Ultra 5 125H NAS (96 GB)

• D6 UltraZZettlab · NAS · 16, 32 or 96 GB · $1,400Product page (opens in a new tab)Discontinued
• D8 UltraZZettlab · NAS · 16, 32 or 96 GB · $1,600Product page (opens in a new tab)Discontinued
• ZettLab D6 UltraZZettlab · NAS · 32 or 96 GBProduct page (opens in a new tab)
• ZettLab D8 UltraZZettlab · NAS · 32 or 96 GB · $1,320Product page (opens in a new tab)