Asustor Flashstor 6 Gen3 (FS806X1)

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Asustor Flashstor 6 Gen3 (FS806X1)

Processor
AMD Ryzen 5 PRO 8640U
Memory (RAM)
8 or 96 GB
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 PRO 8640U 8.0 GB 5.2 GB 77 GB/s 257 of 622 —
AMD Ryzen 5 PRO 8640U · upgraded to the maker's maximum 96.0 GB 83.5 GB 77 GB/s 363 of 622 —

Specifications 8.0 GB configuration

MakerAsustor
TypeNAS
ProcessorAMD Ryzen 5 PRO 8640U NAS (8 GB)
Memory (RAM)8.0 GB
Usable for AI models5.2 GB
Memory bandwidth77 GB/s
FP16 compute0.5 TFLOPS
Runs models onCPU cores
Drive bays6x M.2 NVMe (1x PCIe 4.0 x4, 4x x2, 1x x1)
NAS systemADM
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR5-5600 SO-DIMM · 2 slots · up to 96.0 GB per the maker
AvailabilityAnnounced, not on general sale when checked
NotesAMD Ryzen 5 PRO 8640U (3.5-4.9 GHz). Ryzen 5 PRO 8640U (6C/12T Zen 4) with Radeon 760M graphics, a Ryzen AI NPU and up to 96 GB DDR5 is the strongest AI hardware Asustor has shown. Announced or in crowdfunding; not on general sale when checked (November 2026).
Product pagewww.asustor.com (opens in a new tab)

Running AI on the Asustor Flashstor 6 Gen3 (FS806X1)

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 5.2 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

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

AI features from Asustor

FeatureWhat it doesWhere the AI runs
Photo Gallery AI Search / Category Albums (beta, Photo Gallery 4.1) Natural-language photo search and automatic category albums in Asustor's Photo Gallery app (beta since Photo Gallery 4.1.0). Asustor's Computex 2026 release says its AI features are optional and 'completely local'. On the NAS

Best LLMs for the Asustor Flashstor 6 Gen3 (FS806X1) 8.0 GB

Quality Model Quant Memory Speed Runs
58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E2BGoogle Q4_K_M 4.2 GB 28.5 tok/s Runs well
64Good quality (B) · 64 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. Nemotron Labs Dory 1.0 4BNVIDIA Q4_K_M 3.9 GB 16.4 tok/s Runs well
62Good quality (B) · 62 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. Spark-X2.6 4BSparkLLM Q4_K_M 3.8 GB 15.9 tok/s Runs well
64Good quality (B) · 64 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. Nanbeige4.2 3BBOSS Zhipin (Nanbeige) Q4_K_M 5.0 GB 15.7 tok/s Runs welltight fit
50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) Q3_K_M 5.1 GB 53.8 tok/s Runs welltight fit
58Good quality (B) · 58 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. Nemotron 3.5 Bolt E4BNVIDIA Q3_K_M 5.1 GB 18.8 tok/s Runs welltight fit
57Good quality (B) · 57 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. MiniCPM5 2BOpenBMB Q4_K_M 2.9 GB 26.0 tok/s Runs well
57Good quality (B) · 57 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 4BAi2 Q4_K_M 3.9 GB 15.6 tok/s Runs well
58Good quality (B) · 58 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. Qwen3.5 4BAlibaba Q4_K_M 4.1 GB 14.0 tok/s Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E4BGoogle Q3_K_M 5.1 GB 18.8 tok/s Runs welltight fit

Best Image models for the Asustor Flashstor 6 Gen3 (FS806X1) 8.0 GB

Quality Model Quant Memory Speed Runs
39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. SDXL TurboStability AI FP8 4.2 GB 10 s Runs great
72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 4BBlack Forest Labs Q4 GGUF 4.6 GB 1.6 min Slowtight fit · encoder unloaded after use
90Excellent quality (A+) · 90 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. FLUX 3 Image KleinBlack Forest Labs Q8 GGUF 4.3 GB 10.6 min Very slowCPU offload
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. Z-Image TurboAlibaba (Tongyi) FP8 4.4 GB 3.6 min Very slowCPU offload
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. SD TurboStability AI FP16 3.3 GB 6.0 s Runs great
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs Q4 GGUF 4.3 GB 3.5 min Very slowCPU offload

Best Video models for the Asustor Flashstor 6 Gen3 (FS806X1) 8.0 GB

Quality Model Quant Memory Speed Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5)Shanghai AI Lab FP16 4.7 GB 24.9 min Slowtight fit
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. LTX-Video 2BLightricks FP8 4.0 GB 36.5 min SlowCPU offload
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. CogVideoX 2BZhipu AI FP8 4.7 GB 87.5 min Very slowtight fit · CPU offload

Best Decision models for the Asustor Flashstor 6 Gen3 (FS806X1) 8.0 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 75 ms Runs great
86Excellent quality (A+) · 86 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 v3.5Jina AI Q8_0 1.9 GB 1.4 s Very slow
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 610 ms Slow
84Great quality (A) · 84 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. Jina Reranker v3Jina AI Q8_0 1.9 GB 1.4 s Very slow
68Good quality (B) · 68 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. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 180 ms Runs well
87Excellent quality (A+) · 87 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 4BAlibaba Q5_K_M 4.2 GB 9.2 s Very slow
80Great quality (A) · 80 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. FRIDA-DecisionsSber AI Q8_0 1.7 GB 1.0 s Slow
80Great quality (A) · 80 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. Qwen3 Reranker 0.6BAlibaba Q8_0 1.9 GB 1.4 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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