Hardware · Intel
What AI models can the Intel N150 NAS (16 GB) run?
- RAM
- 16.0 GB
- Usable for models
- 12.0 GB
- Memory bandwidth
- 38 GB/s
- Runs models on
- CPU cores
- Released
- 2025
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 12.0 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
| Maker | Intel |
|---|---|
| Type | NAS (network attached storage) processor |
| Share of memory for models | 75% (what the NAS system and its storage services typically leave free at this size) |
| Chip | Intel N150 |
| AI accelerator | Integrated graphics; NAS systems normally run models on the processor cores. |
| NAS models with this chip | UnifyDrive 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 type | System RAM, shared with the NAS operating system and its storage services |
| Bandwidth figure | 38.4 GB/s, estimated, see the note below |
| Note | One 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. |
| Specifications | unifydrive.com |
Apps that run models well on the Intel N150 NAS (16 GB)
20 products with the Intel N150 NAS (16 GB)
UC250Product page (opens in a new tab)
AOOSTAR WTR PRO N150 4 Bay NASProduct page (opens in a new tab)Discontinued
AOOSTAR R1 N150 2-Bay NAS Mini PCProduct page (opens in a new tab)Discontinued
ME mini (Intel N95 / N150)Beelink · NAS · 12 or 16 GB · $525Product page (opens in a new tab)
ME Pro (Intel N95 / N150)Beelink · NAS · 12 or 16 GB · $379Product page (opens in a new tab)
NucBox G9GMKtec · NAS · 12 or 16 GB · $230Product page (opens in a new tab)Discontinued
N8 6-bay NAS motherboard (Intel N100 / N150; sold elsewhere as MW-N100-NAS class board)Product page (opens in a new tab)
Y104A (4x SATA + 4x NVMe hybrid NAS)Product page (opens in a new tab)
P5-4M 6-bay Pocket NAS (N100 / N150 / i3-N305 / Core 3 N355)Product page (opens in a new tab)
N22 8-bay 10GbE NAS motherboard (N150 / i3-N300)Product page (opens in a new tab)
N29 dual-10GbE NAS motherboard (N150, 6x SATA + 3x NVMe)Product page (opens in a new tab)
TS-h1465U-RPProduct page (opens in a new tab)
TS-h665U-RPProduct page (opens in a new tab)
TS-h665UProduct page (opens in a new tab)
TS-h1065eU-RPProduct page (opens in a new tab)
TS-h1065eUProduct page (opens in a new tab)
TS-h765eUProduct page (opens in a new tab)
F4-425 PlusProduct page (opens in a new tab)
NASync DXP4800SProduct page (opens in a new tab)
ZimaBoard 2 1664Product page (opens in a new tab)
Best LLMs for the Intel N150 NAS (16 GB)
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | K2 Horizon 7B | Q4_K_M | 8.3 GB | 3.5 tok/s | Slow |
| 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | Mellum2.1 Thinking (12B-A2.5B) | Q4_K_M | 9.1 GB | 12.1 tok/s | Runs well |
| 74Great quality (A) · 74 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. | SenseNova Loop 9B Preview | Q4_K_M | 7.9 GB | 3.3 tok/s | Slow |
| 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. | Maple Preview (20B-A1B) | Q3_K_M | 11.6 GB | 25.1 tok/s | Runs welltight fit |
| 74Great quality (A) · 74 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. | MiMo V2.6 Distill Qwen 9B | Q4_K_M | 7.6 GB | 3.3 tok/s | Slow |
| 73Great quality (A) · 73 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. | Ornith 1.5 9B | Q4_K_M | 7.7 GB | 3.3 tok/s | Slow |
| 72Great quality (A) · 72 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. | Qwen3.5 9B | Q4_K_M | 7.7 GB | 3.3 tok/s | Slow |
| 71Great quality (A) · 71 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. | Ornith 1.0 9B | Q4_K_M | 7.7 GB | 3.3 tok/s | Slow |
| 69Good quality (B) · 69 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 12B | Q3_K_M | 8.1 GB | 3.4 tok/s | Slow |
| 70Great quality (A) · 70 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. | TMax 9B | Q4_K_M | 7.3 GB | 3.5 tok/s | Slow |
| 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | Ling 3.0 Tiny (8B-A1.3B) | Q4_K_M | 6.6 GB | 22.4 tok/s | Runs well |
| 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. | UI-Mate 9B | Q4_K_M | 7.6 GB | 3.3 tok/s | Slow |
Best Image models for the Intel N150 NAS (16 GB)
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. | FLUX 3 Image Klein | Q4 GGUF | 10.2 GB | 23.3 min | Very slow |
| 76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. | FLUX.2 [klein] 4B | FP8 | 10.2 GB | 3.1 min | Very slow |
| 78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. | Z-Image Turbo | Q4 GGUF | 10.1 GB | 10.2 min | Very slow |
| 79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | ERNIE-Image Turbo | Q4 GGUF | 11.3 GB | 13.1 min | Very slowtight fit |
| 76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | Z-Image | Q4 GGUF | 10.1 GB | 69.6 min | Very slow |
| 87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | ERNIE-Image | Q8 GGUF | 11.2 GB | 1.5 h | Very slowtight fit · encoder unloaded after use |
Best Video models for the Intel N150 NAS (16 GB)
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. | LTX-Video 2B | FP8 | 10.8 GB | 76.7 min | Very slowtight fit |
| 83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. | Bernini-R A14B (video generation + editing) | FP8 | 10.7 GB | 47.9 h | Very slowtight fit · CPU offload |
| 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. | HY-OmniWeaving (8.3B, unified video) | FP8 | 7.8 GB | 35.2 h | Very slowCPU offload |
| 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. | Wan 2.1 T2V 1.3B | FP16 | 8.4 GB | 14.3 h | Very slowencoder unloaded after use |
| 55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. | Wan 2.1 VACE 1.3B | FP16 | 10.1 GB | 15.5 h | Very slowencoder unloaded after use |
Best Decision models for the Intel N150 NAS (16 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 Filter | 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 4B | Q8_0 | 6.1 GB | 28.8 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 v3.5 | Q8_0 | 2.4 GB | 4.3 s | Very slow |
| 89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3 Reranker 8B | Q6_K | 8.6 GB | 58.6 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-2 | Q8_0 | 6.1 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 v3 | Q8_0 | 2.4 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 79/100 (quality, fit, speed and memory use) sets the ranking. | Skywork Reward V2 Llama 3.1 8B | Q8_0 | 10.4 GB | 115.9 s | Very slowtight fit |
| 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 3B | Q8_0 | 5.9 GB | 27.6 s | Very slow |
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.