FriendlyElec CM3588 NAS Kit

Products · · NAS

FriendlyElec CM3588 NAS Kit

Processor
Rockchip RK3588
Memory (RAM)
4, 8 or 16 GB
Launch price
$184
Released
2023

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
Rockchip RK3588 4.0 GB 2.0 GB 34 GB/s 65 of 622 $184
Rockchip RK3588 8.0 GB 5.2 GB 34 GB/s 150 of 622 —
Rockchip RK3588 16.0 GB 12.0 GB 34 GB/s 173 of 622 —

Specifications 4.0 GB configuration

MakerFriendlyElec
TypeNAS
ProcessorRockchip RK3588 NAS (4 GB)
Memory (RAM)4.0 GB
Usable for AI models2.0 GB
Memory bandwidth34 GB/s
FP16 compute0.1 TFLOPS
Runs models onCPU cores
Drive bays4x M.2 2280 NVMe (PCIe 3.0 x1 each) + eMMC on module
NAS systemNo preinstalled NAS OS; FriendlyElec images: OpenMediaVault…
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeLPDDR4X 2133 MHz (soldered on compute module) · up to 16.0 GB per the maker · non-ECC
NotesRockchip RK3588 (4x Cortex-A76 2.4 GHz + 4x Cortex-A55 1.8 GHz). RK3588 runs 1-4B quantized models on CPU (a reviewer saw about 14 tokens/s on the 16 GB unit) and small converted models on the 6 TOPS NPU, but RAM tops out at 16 GB and Ollama has no GPU/NPU acceleration here.
Product pagewww.friendlyelec.com (opens in a new tab)

Running AI on the FriendlyElec CM3588 NAS Kit

It can, with limits: expect small models only, at modest speed. Models run on its CPU cores, and this configuration leaves about 2.0 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
Ollama In a container (Docker)
Open WebUI In a container (Docker)
RKLLM / rknn-llm In a container (Docker)

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

Best LLMs for the FriendlyElec CM3588 NAS Kit 4.0 GB

Quality Model Quant Memory Speed Runs
53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7BLiquid AI Q4_K_M 1.9 GB 21.0 tok/s Runs welltight fit
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9BBaidu Q4_K_M 1.5 GB 37.8 tok/s Runs great
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3BOpenBMB Q4_K_M 1.7 GB 27.9 tok/s Runs well
42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q3_K_M 1.8 GB 24.4 tok/s Runs welltight fit
34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 1BOpenBMB Q4_K_M 1.6 GB 33.6 tok/s Runs great
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 1BOpenBMB Q3_K_M 1.6 GB 30.3 tok/s Runs great
26Basic quality (D) · 26 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 1.2B InstructLiquid AI Q3_K_M 1.4 GB 40.1 tok/s Runs great
24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 0.8BAlibaba Q4_K_M 1.4 GB 41.7 tok/s Runs great
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. TMax 2BAi2 Q3_K_M 1.8 GB 25.0 tok/s Runs welltight fit
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 2BAlibaba Q3_K_M 2.0 GB 20.7 tok/s Runs welltight fit

Best Image models for the FriendlyElec CM3588 NAS Kit 4.0 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 52/100 (quality, fit, speed and memory use) sets the ranking. SDXL TurboStability AI FP8 1.6 GB 34 s Runs wellCPU offload
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. SD TurboStability AI FP16 1.3 GB 20 s Runs wellCPU offload
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. Realistic Vision V5.1SG161222 FP16 1.3 GB 5.0 min Very slowCPU offload
40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper 8Lykon FP16 1.3 GB 5.0 min Very slowCPU offload
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. LCM DreamShaper v7Tsinghua (LCM) FP16 1.3 GB 62 s SlowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 45/100 (quality, fit, speed and memory use) sets the ranking. Stable Diffusion 1.5Stability AI / Runway FP16 1.3 GB 5.0 min Very slowCPU offload

Best Video models for the FriendlyElec CM3588 NAS Kit 4.0 GB

None of the video models in our catalog fit in this much memory.

Best Decision models for the FriendlyElec CM3588 NAS Kit 4.0 GB

Quality Model Quant Memory Speed Runs
86Excellent quality (A+) · 86 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 v3.5Jina AI Q8_0 1.6 GB 3.5 s Very slow
84Great quality (A) · 84 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. Jina Reranker v3Jina AI Q8_0 1.6 GB 3.5 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino Q8_0 1.2 GB 1.5 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-DecisionsSber AI Q8_0 1.7 GB 2.6 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6BAlibaba Q8_0 1.6 GB 3.5 s Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86MMeta Q8_0 1.0 GB 1.8 s Very slow
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 452 ms Slow
74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. GLiClass ModernBERT Large v3Knowledgator Q8_0 1.1 GB 1.3 s 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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