ORICO CyberData CF1000

Products · · NAS

ORICO CyberData CF1000

Processor
Intel Core i5-1240P / i5-1340P
Memory (RAM)
16, 32 or 96 GB
Launch price
$1,400
Released
2025

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 i5-1240P / i5-1340P 16.0 GB 12.0 GB 38 GB/s 214 of 622 $1,400
Intel Core i5-1240P / i5-1340P 32.0 GB 26.2 GB 38 GB/s 246 of 622 —
Intel Core i5-1240P / i5-1340P · upgraded to the maker's maximum 96.0 GB 83.5 GB 38 GB/s 258 of 622 —

Specifications 96.0 GB configuration

MakerORICO
TypeNAS
ProcessorIntel Core i5-1240P / i5-1340P NAS (96 GB) · upgraded to the maker's maximum
Memory (RAM)96.0 GB
Usable for AI models83.5 GB
Memory bandwidth38 GB/s
FP16 compute0.5 TFLOPS
Runs models onCPU cores
Drive bays10x SATA + 2x M.2 NVMe
NAS systemCyberData OS
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR5 SO-DIMM (maker: 5200 MHz supported; Intel lists DDR5-4800 for… · 2 slots · up to 96.0 GB per the maker · non-ECC
Graphics card optionsExternal GPU: 2x USB4 40 Gb/s (Thunderbolt 4/3 compatible); maker promotes pairing with an ORICO external GPU dock. Maker-supported graphics cards: ORICO GT550 dock (up to RTX 5060 Ti / RX 7800 XT) and GT800 dock (up to RTX 5090 D / RX 9070 XT), per Hackster's report of maker claims.
NotesIntel Core i5-1240P. 12-core i5-1240P with two DDR5 slots, Docker with Open WebUI, and USB4 for ORICO's external GPU docks.
Product pagewww.orico.cc (opens in a new tab)

Running AI on the ORICO CyberData CF1000

Yes, it runs AI models on the NAS itself. 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
Open WebUI From the NAS app store
Ollama In a container (Docker)

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

AI features from ORICO

FeatureWhat it doesWhere the AI runs
AI semantic photo search / AI album Finds photos by description and sorts albums; maker markets it as local AI. On the NAS
Open-source AI model deployment (Docker Featured Apps, MCP Agent) Maker says the NAS can host open-source models privately and supports an MCP agent; delivered as Docker apps, no models named. On the NAS

Best LLMs for the ORICO CyberData CF1000 96.0 GB

Quality Model Quant Memory Speed Runs
88Excellent quality (A+) · 88 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. Kolibri 1 (78B-A3.5B)Aleph Alpha Q5_K_M 62.9 GB 10.5 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 85/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Coder Next (80B-A3B)Alibaba Q4_K_M 56.1 GB 14.5 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 85/100 (quality, fit, speed and memory use) sets the ranking. Qwen3-Next 80B-A3B ThinkingAlibaba Q4_K_M 57.1 GB 14.5 tok/s Runs well
91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt 74B-A9BNVIDIA Q6_K 68.8 GB 3.5 tok/s Slow
79Great quality (A) · 79 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 Next 80B-A3B InstructAlibaba Q4_K_M 57.1 GB 14.5 tok/s Runs well
89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Flint (40B-A2.5B)Recursive Q6_K 40.1 GB 12.2 tok/s Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q6_K 36.9 GB 10.2 tok/s Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba Q6_K 36.9 GB 10.2 tok/s Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q6_K 36.3 GB 10.2 tok/s Runs well
84Great quality (A) · 84 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. gpt-oss 120BOpenAI MXFP4 74.2 GB 9.3 tok/s Slowtight fit

Best Image models for the ORICO CyberData CF1000 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 89.8 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 37.4 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 61.9 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 53.9 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 2.2 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 13.5 min Very slowtight fit

Best Video models for the ORICO CyberData CF1000 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 29.8 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 2.6 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 I2V A14BAlibaba FP16 58.0 GB 39.9 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 T2V A14BAlibaba FP16 58.0 GB 39.9 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 44.9 h Very slow

Best Decision models for the ORICO CyberData CF1000 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 55 ms Runs great
68Good quality (B) · 68 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. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 129 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 1.0 s Slow
80Great quality (A) · 80 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. GLiNER2.5 DecideFastino Q8_0 1.2 GB 437 ms 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 1.0 s 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 6.7 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. Qwen3 Reranker 8BAlibaba Q8_0 16.3 GB 13.7 s Very slow
80Great quality (A) · 80 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. FRIDA-DecisionsSber AI Q8_0 1.7 GB 728 ms Slow

Other products with the Intel Core i5-1240P / i5-1340P 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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