Minisforum N5 Air AI NAS

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Minisforum N5 Air AI NAS

Processor
AMD Ryzen 7 8845HS / Ryzen 7 255
Memory (RAM)
16 or 96 GB
Launch price
$535
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
AMD Ryzen 7 8845HS / Ryzen 7 255 16.0 GB 8.0 GB 90 GB/s 327 of 622 $535
AMD Ryzen 7 8845HS / Ryzen 7 255 · upgraded to the maker's maximum 96.0 GB 48.0 GB 90 GB/s 408 of 622 —

Specifications 96.0 GB configuration

MakerMinisforum
TypeNAS
ProcessorAMD Ryzen 7 8845HS / Ryzen 7 255 NAS (96 GB) · upgraded to the maker's maximum
Memory (RAM)96.0 GB
Usable for AI models48.0 GB
Memory bandwidth90 GB/s
FP16 compute16.6 TFLOPS
Runs models onGPU (Vulkan)
Drive bays5x 3.5/2.5in SATA (30TB each) + 3x M.2 NVMe
NAS systemMinisCloud OS
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR5 SO-DIMM 5600 MT/s (non-ECC) · 2 slots · up to 96.0 GB per the maker · non-ECC
Graphics card optionsPCIe: 1x internal PCIe x16 slot, PCIe 4.0 x4 electrical. External GPU: 1x OCuLink port (rear); 2x USB4.
NotesAMD Ryzen 7 255. 8-core Zen 4 with Radeon 780M, no NPU listed, up to 96GB dual-channel DDR5, Docker in MinisCloud OS or a replacement OS. Small models run at CPU speeds; a GPU in the PCIe slot or on OCuLink is needed for faster or larger models.
Product pagestore.minisforum.com (opens in a new tab)

Running AI on the Minisforum N5 Air AI NAS

It can, with limits: expect small models only, at modest speed. Models run on its GPU (Vulkan), and this configuration leaves about 48.0 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
Any Docker image In a container (Docker)
Guest OS in the MinisCloud OS Virtual Machine app In a virtual machine

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

AI features from Minisforum

FeatureWhat it doesWhere the AI runs
MinisCloud AI Photo Library Face recognition, scene sorting and image/semantic search over photos stored on the NAS (maker page wording). On the NAS

Best LLMs for the Minisforum N5 Air AI NAS 96.0 GB

Quality Model Quant Memory Speed Runs
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. Flint (40B-A2.5B)Recursive Q4_K_M 28.9 GB 42.0 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 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q4_K_M 26.5 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 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba Q4_K_M 26.5 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 91/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q4_K_M 26.1 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 91/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B)Nex-AGI Q4_K_M 26.0 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 90/100 (quality, fit, speed and memory use) sets the ranking. Sage-A1.5 35B-A3BInternScience Q4_K_M 26.5 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 90/100 (quality, fit, speed and memory use) sets the ranking. KAT-Coder V2.5 Dev (35B-A3B)Kuaishou Q4_K_M 25.8 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 90/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 35B-A3BDeepReinforce Q4_K_M 26.5 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 90/100 (quality, fit, speed and memory use) sets the ranking. Apodex 1.1 Mini (35B-A3B)Apodex Q4_K_M 26.5 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 90/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.0 35B-A3BDeepReinforce Q4_K_M 26.5 GB 35.8 tok/s Runs great

Best Image models for the Minisforum N5 Air AI NAS 96.0 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 92/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs FP16 37.1 GB 9.0 s Runs great
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Krea 2 TurboKrea FP16 37.4 GB 21 s Runs well
85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. ERNIE-Image TurboBaidu FP16 26.4 GB 16 s Runs well
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. Z-Image TurboAlibaba (Tongyi) FP16 22.7 GB 12 s Runs great
70Great quality (A) · 70 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.1 [schnell]Black Forest Labs FP16 36.4 GB 10.0 s Runs great
87Excellent quality (A+) · 87 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Qwen-Image 2.1 TurboAlibaba FP8 30.8 GB 52 s Slow

Best Video models for the Minisforum N5 Air AI NAS 96.0 GB

Quality Model Quant Memory Speed Runs
81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. LTX-2.5 (22B, video + audio)Lightricks Q4 GGUF 39.9 GB 9.1 min Runs well
66Good quality (B) · 66 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. LTX-Video 13B 0.9.8 (distilled)Lightricks FP8 30.1 GB 4.5 min Runs well
84Great quality (A) · 84 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. LTX-2.3Lightricks FP8 44.3 GB 30.0 min Slowtight fit
85Excellent quality (A+) · 85 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. Wan 2.2 I2V A14BAlibaba Q8 GGUF 39.3 GB 2.6 h Very slow
85Excellent quality (A+) · 85 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. Wan 2.2 T2V A14BAlibaba Q8 GGUF 39.3 GB 2.6 h Very slow

Best Decision models for the Minisforum N5 Air AI NAS 96.0 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 5.9 GB 48 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 5.9 GB 48 ms Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q8_0 6.1 GB 88 ms Runs great
81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. d1 3BLiquid AI Q6_K 7.0 GB 101 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 24 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 16 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. LemonDecider 4BAnt Group (inclusionAI) Q8_0 6.5 GB 99 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 5.9 GB 48 ms Runs great

Other products with the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (96 GB)

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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