Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H)

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Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H)

Chips
Intel Core Ultra 5 225H or Intel Core Ultra 7 255H / 9 285H
Memory (RAM)
32 or 64 GB
Launch price
$791
Released
2026

Product page (opens in a new tab) Full AI report

Configurations

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

Configuration Memory Usable for AI Bandwidth LLMs that run well Launch price
Intel Core Ultra 5 225H · Intel Core Ultra 5 225H 32.0 GB 18.2 GB 102 GB/s 386 of 622 $791
Intel Core Ultra 7 255H / 9 285H · Intel Core Ultra 7 255H / 9 285H 32.0 GB 18.2 GB 102 GB/s 386 of 622 —
Intel Core Ultra 5 225H · Intel Core Ultra 5 225H 64.0 GB 36.5 GB 102 GB/s 397 of 622 —
Intel Core Ultra 7 255H / 9 285H · Intel Core Ultra 7 255H / 9 285H 64.0 GB 36.5 GB 102 GB/s 397 of 622 —

Specifications 64.0 GB configuration

MakerTopton
TypeNAS
ProcessorIntel Core Ultra 5 225H NAS (64 GB) · Intel Core Ultra 5 225H
Memory (RAM)64.0 GB
Usable for AI models36.5 GB
Memory bandwidth102 GB/s
FP16 compute8.0 TFLOPS
Runs models onGPU (Vulkan)
Drive bays12x SATA III (3x SFF-8087) + 2x M.2 2280 NVMe (PCIe 4.0 x4 / 3.0 x4)
NAS systemSold without an OS
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeLPDDR5 8400 MHz (soldered) · up to 64.0 GB per the maker · non-ECC
Graphics card optionsPCIe: 1x PCIe 4.0 x8 slot; maker says it supports a graphics card. External GPU: 2x Thunderbolt 4 / USB4 ports; eGPU use not documented by the maker.
NotesIntel Core Ultra 5 225H, Ultra 7 255H or Ultra 9 285H (Arrow Lake-H). 32 or 64 GB of fast soldered LPDDR5, Arc 140T iGPU, a PCIe 4.0 x8 slot the maker says takes a graphics card, and Thunderbolt 4: runs 14B-class quantized models on iGPU/CPU and larger with a GPU.
Product pagewww.toptonpc.com (opens in a new tab)

Running AI on the Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H)

Yes, it runs AI models on the NAS itself. Models run on its GPU (Vulkan), and this configuration leaves about 36.5 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

AppHow it installs
Ollama In a container (Docker)
Open WebUI In a container (Docker)

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

Best LLMs for the Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H) 64.0 GB

Quality Model Quant Memory Speed Runs
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q4_K_M 25.6 GB 35.8 tok/s Runs great
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q4_K_M 25.2 GB 35.8 tok/s Runs great
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba Q4_K_M 25.6 GB 35.8 tok/s Runs great
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B)Nex-AGI Q4_K_M 25.1 GB 35.8 tok/s Runs great
85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Flint (40B-A2.5B)Recursive Q4_K_M 28.0 GB 42.0 tok/s Runs great
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. KAT-Coder V2.5 Dev (35B-A3B)Kuaishou Q4_K_M 24.8 GB 35.8 tok/s Runs great
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Sage-A1.5 35B-A3BInternScience Q4_K_M 25.6 GB 35.8 tok/s Runs great
85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 35B-A3BDeepReinforce Q4_K_M 25.6 GB 35.8 tok/s Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Apodex 1.1 Mini (35B-A3B)Apodex Q4_K_M 25.6 GB 35.8 tok/s Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.0 35B-A3BDeepReinforce Q4_K_M 25.6 GB 35.8 tok/s Runs great

Best Image models for the Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H) 64.0 GB

Quality Model Quant Memory Speed Runs
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Z-Image TurboAlibaba (Tongyi) FP16 22.7 GB 26 s Runs well
85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. ERNIE-Image TurboBaidu FP16 26.4 GB 33 s Runs well
91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. FLUX 3 Image KleinBlack Forest Labs FP16 22.4 GB 59 s Slow
78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 4BBlack Forest Labs FP16 18.1 GB 10 s Runs great
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs FP8 19.9 GB 17 s Runs well
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Krea 2 TurboKrea FP8 20.2 GB 40 s Slow

Best Video models for the Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H) 64.0 GB

Quality Model Quant Memory Speed Runs
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. Bernini-R A14B (video generation + editing)ByteDance FP8 26.0 GB 1.9 h Very slow
86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. LTX-2.5 (22B, video + audio)Lightricks FP8 35.2 GB 14.9 min Slowtight fit · encoder unloaded after use
66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. LTX-Video 13B 0.9.8 (distilled)Lightricks FP8 30.1 GB 9.3 min Runs well
78Great quality (A) · 78 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. SCAIL-2 14B (character animation)Zhipu AI FP8 29.8 GB 3.1 h Very slow
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. HY-OmniWeaving (8.3B, unified video)Tencent FP8 24.6 GB 82.4 min Very slow

Best Decision models for the Topton N25 14-bay dual-10GbE NAS motherboard (Core Ultra 5 225H / 7 255H / 9 285H) 64.0 GB

Quality Model Quant Memory Speed Runs
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. Jina Reranker v3.5Jina AI F16 5.0 GB 80 ms Runs great
84Great 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. Jina Reranker v3Jina AI F16 5.0 GB 80 ms Runs great
80Great 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. FRIDA-DecisionsSber AI F16 2.4 GB 51 ms Runs great
80Great 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. GLiNER2.5 DecideFastino F16 1.7 GB 32 ms Runs great
80Great 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. Qwen3 Reranker 0.6BAlibaba F16 5.0 GB 80 ms Runs great
76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86MMeta F16 1.2 GB 36 ms Runs great
76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-base v2Mixedbread F16 4.5 GB 66 ms Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q8_0 5.2 GB 170 ms Runs well

Spec sources

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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