Products · · NAS

Netgear ReadyNAS 426 / 428 (RN426, RN428)

Processor
Intel Atom C3538 / C3558
Memory (RAM)
4 GB
Released
2017

Product page (opens in a new tab)Discontinued Full AI report

Specifications

MakerNetgear
TypeNAS
ProcessorIntel Atom C3538 / C3558 NAS (4 GB)
Memory (RAM)4.0 GB
Usable for AI models2.0 GB
Memory bandwidth19 GB/s
FP16 compute0.1 TFLOPS
Runs models onCPU cores
Drive bays6x 3.5" SATA (RN426) or 8x 3.5" SATA (RN428)
NAS systemReadyNAS OS 6
Containers (Docker)Yes
Virtual machinesNo
Memory upgradeDDR4
AvailabilityDiscontinued (sold used or refurbished)
NotesIntel Atom C3000-series quad-core (Netgear datasheet does not name the exact model; C3538 reported by third parties). End-of-life x86-64 hardware where a model could only run through an unsupported community Docker install or by replacing ReadyNAS OS with another Linux; 4 GB RAM and a slow Atom keep it to tiny models.
Product pagewww.netgear.com (opens in a new tab)Discontinued

Running AI on the Netgear ReadyNAS 426 / 428 (RN426, RN428)

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.

Apps you can install to run models

AppHow it installs
Docker CE CLI In a container (Docker)

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

Best LLMs for the Netgear ReadyNAS 426 / 428 (RN426, RN428)

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 68/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7BLiquid AI Q4_K_M 1.9 GB 5.7 tok/s Slowtight fit
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9BBaidu Q4_K_M 1.5 GB 10.2 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 63/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q3_K_M 1.8 GB 6.6 tok/s Slowtight fit
30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 1BOpenBMB Q3_K_M 1.5 GB 11.8 tok/s Runs well
29Basic quality (D) · 29 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3BOpenBMB Q2_K 1.4 GB 12.4 tok/s Runs well
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. TMax 2BAi2 Q3_K_M 1.8 GB 6.8 tok/s Slowtight fit
28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 1BOpenBMB Q2_K 1.5 GB 10.4 tok/s Runs well
26Basic quality (D) · 26 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 1.2B InstructLiquid AI Q3_K_M 1.4 GB 10.9 tok/s Runs well
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 2BAlibaba Q3_K_M 2.0 GB 5.6 tok/s Slowtight fit
24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 0.8BAlibaba Q4_K_M 1.4 GB 11.3 tok/s Runs well

Best Image models for the Netgear ReadyNAS 426 / 428 (RN426, RN428)

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 50/100 (quality, fit, speed and memory use) sets the ranking. SDXL TurboStability AI FP8 1.6 GB 71 s SlowCPU offload
42Fair quality (C) · 42 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. Realistic Vision V5.1SG161222 FP16 1.3 GB 10.6 min Very slowCPU offload
28Basic quality (D) · 28 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. SD TurboStability AI FP16 1.3 GB 42 s SlowCPU offload
40Fair quality (C) · 40 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. DreamShaper 8Lykon FP16 1.3 GB 10.6 min Very slowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. Stable Diffusion 1.5Stability AI / Runway FP16 1.3 GB 10.6 min Very slowCPU offload
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. LCM DreamShaper v7Tsinghua (LCM) FP16 1.3 GB 2.2 min SlowCPU offload

Best Video models for the Netgear ReadyNAS 426 / 428 (RN426, RN428)

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

Best Decision models for the Netgear ReadyNAS 426 / 428 (RN426, RN428)

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 79/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI Q8_0 1.6 GB 17.2 s Very slow
84Great quality (A) · 84 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. Jina Reranker v3Jina AI Q8_0 1.6 GB 17.2 s Very slow
80Great quality (A) · 80 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. GLiNER2.5 DecideFastino Q8_0 1.2 GB 7.6 s Very slow
80Great quality (A) · 80 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. FRIDA-DecisionsSber AI Q8_0 1.7 GB 12.7 s Very slow
80Great quality (A) · 80 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. Qwen3 Reranker 0.6BAlibaba Q8_0 1.6 GB 17.2 s Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86MMeta Q8_0 1.0 GB 8.7 s Very slow
79Great quality (A) · 79 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q5_K_M 1.9 GB 44.0 s Very slowtight fit
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-base v2Mixedbread Q8_0 1.3 GB 14.0 s Very slow

Other products with the Intel Atom C3538 / C3558 NAS (4 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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