Minisforum AI NAS N5 AIR-7640

Products · · NAS

Minisforum AI NAS N5 AIR-7640

Processor
AMD Ryzen 5 7640HS
Memory (RAM)
16 or 96 GB
Launch price
$495
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 5 7640HS 16.0 GB 12.0 GB 90 GB/s 312 of 622 $495
AMD Ryzen 5 7640HS · upgraded to the maker's maximum 96.0 GB 83.5 GB 90 GB/s 364 of 622 —

Specifications 96.0 GB configuration

MakerMinisforum
TypeNAS
ProcessorAMD Ryzen 5 7640HS NAS (96 GB) · upgraded to the maker's maximum
Memory (RAM)96.0 GB
Usable for AI models83.5 GB
Memory bandwidth90 GB/s
FP16 compute0.6 TFLOPS
Runs models onCPU cores
Drive bays5x 3.5/2.5in SATA (30TB each, 150TB) + 3x M.2 NVMe
NAS systemMinisCloud OS
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR5 SO-DIMM, 4800 or 5600 MT/s (non-ECC; AMD lists ECC 'No' for this… · 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 5 7640HS. 6-core Zen 4 with Radeon 760M and up to 96GB dual-channel DDR5, Docker or a replacement OS. Small models at CPU speeds; add a GPU through the PCIe slot or OCuLink for more.
Product pagestore.minisforum.com (opens in a new tab)

Running AI on the Minisforum AI NAS N5 AIR-7640

It can, with limits: expect small models only, at modest speed. 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

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 AI NAS N5 AIR-7640 96.0 GB

Quality Model Quant Memory Speed Runs
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. Kolibri 1 (78B-A3.5B)Aleph Alpha Q4_K_M 55.1 GB 19.8 tok/s Runs well
81Great 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 22.6 tok/s Runs well
81Great 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 22.6 tok/s Runs well
79Great 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 22.6 tok/s Runs well
84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 120BOpenAI MXFP4 74.2 GB 14.6 tok/s Runs welltight fit
89Excellent quality (A+) · 89 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. Nemotron 3.5 Super VL 120B-A12BNVIDIA Q4_K_M 83.3 GB 6.0 tok/s Slowtight fit
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. Flint (40B-A2.5B)Recursive Q4_K_M 31.8 GB 26.7 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 84/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q4_K_M 29.4 GB 22.6 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 84/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q4_K_M 28.9 GB 22.6 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 84/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba Q4_K_M 29.4 GB 22.6 tok/s Runs well

Best Image models for the Minisforum AI NAS N5 AIR-7640 96.0 GB

Quality Model Quant Memory Speed Runs
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
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. Ideogram 4Ideogram FP16 57.3 GB 26.8 min Very slow
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. FLUX.2 [dev]Black Forest Labs Q8 GGUF 61.9 GB 44.4 min Very slow
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 38.6 min Very slow
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
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. MiniMax H3 ImageMiniMax FP8 72.0 GB 9.7 min Very slowtight fit

Best Video models for the Minisforum AI NAS N5 AIR-7640 96.0 GB

Quality Model Quant Memory Speed Runs
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. MiniMax H3 (33B, video + audio)MiniMax Q8 GGUF 68.2 GB 21.4 h Very slow
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. LTX-2.5 (22B, video + audio)Lightricks Q8 GGUF 49.8 GB 1.9 h Very slow
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
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
84Great 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. HunyuanVideo 1.5 (8.3B)Tencent FP16 55.2 GB 32.2 h Very slow

Best Decision models for the Minisforum AI NAS N5 AIR-7640 96.0 GB

Quality Model Quant Memory Speed Runs
78Great 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. OpenAI Privacy FilterOpenAI F16 3.8 GB 65 ms Runs great
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. Jina Reranker v3.5Jina AI Q8_0 8.2 GB 1.2 s Slow
68Good quality (B) · 68 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. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 154 ms Runs well
80Great quality (A) · 80 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. GLiNER2.5 DecideFastino Q8_0 1.2 GB 520 ms Slow
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 7.9 s Very slow
84Great 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. Jina Reranker v3Jina AI Q8_0 8.2 GB 1.2 s 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 16.3 GB 16.1 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. Skywork Reward V2 Llama 3.1 8BSkywork Q8_0 10.4 GB 31.6 s Very slow

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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