UnifyDrive UC250

Hardware · Intel

What AI models can the Intel N150 NAS (64 GB) run?

RAM
64.0 GB
Usable for models
54.4 GB
Memory bandwidth
38 GB/s
Runs models on
CPU cores
Released
2025
520 / 622 LLMs run Best: Flint (40B-A2.5B) 61 / 61 Image models run Best: Krea 2 Turbo 42 / 43 Video models run Best: LTX-2.3 69 / 70 Decision models run Best: OpenAI Privacy Filter

A NAS with this chip runs models on its processor cores, so memory speed sets the pace: small models (about 1-4B) answer at a usable speed, bigger ones are slow. We plan around 54.4 GB for models, what is left after the NAS system and its storage services. Models run in a container (Docker) or the maker’s app store, and speeds assume the NAS isn’t busy with storage work.

More about this hardware

MakerIntel
TypeNAS (network attached storage) processor
Share of memory for models85% (what the NAS system and its storage services typically leave free at this size)
ChipIntel N150
AI acceleratorIntegrated graphics; NAS systems normally run models on the processor cores.
NAS models with this chipUnifyDrive UC250 · Youyeetoo NestDisk · ORICO CyberData Vault CF500 · AOOSTAR WTR PRO N150 4 Bay NAS · AOOSTAR R1 N150 2-Bay NAS Mini PC · Beelink ME mini (Intel N95 / N150) · Beelink ME Pro (Intel N95 / N150) · GMKtec NucBox G9 · CWWK X86-P6 pocket NAS · CWWK N150-K / N355 Mini-ITX NAS motherboard (6x SATA, 2x i226-V) · Topton N18 NAS Mini-ITX motherboard · Topton N8 6-bay NAS motherboard (Intel N100 / N150; sold elsewhere as MW-N100-NAS class board) · Maiyunda Y104A (4x SATA + 4x NVMe hybrid NAS) · Topton P5-4M 6-bay Pocket NAS (N100 / N150 / i3-N305 / Core 3 N355) · Topton N22 8-bay 10GbE NAS motherboard (N150 / i3-N300) · Topton N29 dual-10GbE NAS motherboard (N150, 6x SATA + 3x NVMe) · ORICO CyberData CF500 · QNAP TBS-465X · QNAP TS-h1465U-RP · QNAP TS-h665U-RP · QNAP TS-h665U · QNAP TS-h1065eU-RP · QNAP TS-h1065eU · QNAP TS-h765eU · TerraMaster F2-425 Plus · TerraMaster F4-425 Plus · UGREEN NASync DXP4800S · IceWhale ZimaBoard 2 832 · IceWhale ZimaBoard 2 1664
Memory typeSystem RAM, shared with the NAS operating system and its storage services
Bandwidth figure38.4 GB/s, estimated, see the note below
NoteOne profile for every NAS built on this chip. Memory speed is an estimate from the chip’s supported memory in a typical NAS fitting; a unit with one memory module runs slower than one with two. Speed assumes the NAS is not busy with storage work.
Specificationsunifydrive.com

Apps that run models well on the Intel N150 NAS (64 GB)

Linux

  1. OllamaOne command with Ollama’s own build of this model.
  2. llama.cppUsually the first to support new model architectures.
  3. KoboldCpp

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

1 product with the Intel N150 NAS (64 GB)

Best LLMs for the Intel N150 NAS (64 GB)

Quality Model Quant Memory Speed Runs
87Excellent quality (A+) · 87 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Flint (40B-A2.5B)Recursive Q5_K_M 33.4 GB 10.0 tok/s Runs well
95Excellent quality (A+) · 95 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. Nanbeige4.3 33BBOSS Zhipin (Nanbeige) Q8_0 41.8 GB 0.5 tok/s Very slow
95Excellent quality (A+) · 95 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. Qwen3.8 27BAlibaba Q8_0 34.9 GB 0.6 tok/s Very slow
88Excellent quality (A+) · 88 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. Qwen3.6 35B-A3BAlibaba Q4_K_M 27.0 GB 10.1 tok/s Runs well
94Excellent quality (A+) · 94 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. Qwen3.6 27BAlibaba Q8_0 34.9 GB 0.6 tok/s Very slow
88Excellent quality (A+) · 88 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. Qwen3.5 35B-A3BAlibaba Q4_K_M 27.0 GB 10.1 tok/s Runs well
88Excellent quality (A+) · 88 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. MiniCPM-V 4.7 35B-A3BOpenBMB Q4_K_M 26.6 GB 10.1 tok/s Runs well
93Excellent quality (A+) · 93 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. Qwen3.5 27BAlibaba Q8_0 34.9 GB 0.6 tok/s Very slow
81Great quality (A) · 81 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. Qwen3 Coder Next (80B-A3B)Alibaba Q4_K_M 53.8 GB 10.1 tok/s Runs welltight fit
92Excellent quality (A+) · 92 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. Muse Glimmer 30BMeta Q8_0 36.6 GB 0.5 tok/s Very slow
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. Nex N2 Mini (35B-A3B)Nex-AGI Q4_K_M 26.5 GB 10.1 tok/s Runs well
87Excellent quality (A+) · 87 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. Nemotron 3.5 Bolt 74B-A9BNVIDIA Q4_K_M 50.7 GB 3.5 tok/s Slowtight fit

Best Image models for the Intel N150 NAS (64 GB)

Quality Model Quant Memory Speed Runs
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. Krea 2 TurboKrea FP16 37.4 GB 14.7 min Very slow
92Excellent quality (A+) · 92 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. Qwen-Image 2.1Alibaba Q8 GGUF 41.6 GB 3.9 h Very slow
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 5.9 h Very slow
84Great quality (A) · 84 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. FLUX.2 [klein] 9BBlack Forest Labs FP16 37.1 GB 6.1 min Very slow
88Excellent quality (A+) · 88 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. ERNIE-ImageBaidu FP16 34.0 GB 75.0 min Very slow
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. Fibo 2.0 DevBria AI FP16 27.7 GB 76.7 min Very slow

Best Video models for the Intel N150 NAS (64 GB)

Quality Model Quant Memory Speed Runs
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. LTX-2.3Lightricks Q8 GGUF 45.6 GB 26.1 h Very slow
85Excellent quality (A+) · 85 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. Bernini-R A14B (video generation + editing)ByteDance FP16 46.0 GB 40.9 h Very slow
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 104.6 h Very slow
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 104.6 h Very slow
87Excellent quality (A+) · 87 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. LTX-2.5 (22B, video + audio)Lightricks Q8 GGUF 49.8 GB 5.9 h Very slowtight fit

Best Decision models for the Intel N150 NAS (64 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 83/100 (quality, fit, speed and memory use) sets the ranking. OpenAI Privacy FilterOpenAI Q8_0 2.4 GB 197 ms Runs well
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 9.5 GB 28.8 s Very slow
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 58.8 s Very slow
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. Jina Reranker v3.5Jina AI Q8_0 5.8 GB 4.3 s Very slow
90Excellent quality (A+) · 90 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. Skywork Reward V2 Llama 3.1 8BSkywork Q8_0 10.4 GB 115.9 s Very slow
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. zerank-2ZeroEntropy Q8_0 9.5 GB 28.8 s Very slow
84Great 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. Jina Reranker v3Jina AI Q8_0 5.8 GB 4.3 s Very slow
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 9.3 GB 27.6 s Very slow

Best LLMs by task on this hardware Open in Model Finder

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.

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