Synology RS3626xs

Products · · NAS

Synology RS3626xs

Processor
Intel Xeon D-1700 series
Memory (RAM)
8 or 48 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
Intel Xeon D-1700 series 8.0 GB 5.2 GB 43 GB/s 153 of 622 —
Intel Xeon D-1700 series · upgraded to the maker's maximum 48.0 GB 40.3 GB 43 GB/s 221 of 622 —

Specifications 48.0 GB configuration

MakerSynology
TypeNAS
ProcessorIntel Xeon D-1700 series NAS (48 GB) · upgraded to the maker's maximum
Memory (RAM)48.0 GB
Usable for AI models40.3 GB
Memory bandwidth43 GB/s
FP16 compute0.5 TFLOPS
Runs models onCPU cores
Drive bays12x 3.5" SATA HDD or 2.5" SATA SSD
NAS systemDSM 7.x
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR4 ECC UDIMM · 6 slots · up to 48.0 GB per the maker · ECC
Graphics card optionsPCIe: 2 x Gen4 x8 slot (x8 link). Maker-supported graphics cards: NVIDIA RTX PRO 2000 Blackwell (16 GB); NVIDIA RTX 2000 Ada (16 GB); NVIDIA RTX PRO 4000 SFF Blackwell (24 GB); NVIDIA RTX 4000 SFF Ada (20 GB).
NotesIntel Xeon D-1726. x86-64, up to 48 GB RAM, Container Manager and VMM, and it is one of six Synology systems that officially take an NVIDIA RTX card (16-24 GB VRAM). Synology itself runs local embedding/OCR/speech/caption models on that GPU.
Product pagewww.synology.com (opens in a new tab)

Running AI on the Synology RS3626xs

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 40.3 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 + Open WebUI In a container (Docker)
Any Linux guest running llama.cpp / Ollama In a virtual machine

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

AI features from Synology

FeatureWhat it doesWhere the AI runs
Synology AI Console (cloud providers) Admin console that connects Synology Office, MailPlus, Chat, Drive etc. to Amazon Bedrock, Azure OpenAI, Baidu AI Cloud, Google AI Studio/Vertex AI, OpenAI or any OpenAI-compatible endpoint. Cloud service or another computer
AI Console de-identification Masks names and other sensitive entities before text is sent to a remote AI provider, using small local language models run through Container Manager. On the NAS
AI Console GPU-powered models (Synology Drive AI search) With a supported NVIDIA card installed, AI Console runs local embedding, OCR, speech-to-text and image-captioning models (2-3 GB each) for semantic search in Synology Drive. Synology recommends reserving at least 16 GB of system memory. On the NAS

Best LLMs for the Synology RS3626xs 48.0 GB

Quality Model Quant Memory Speed Runs
90Excellent quality (A+) · 90 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q5_K_M 29.5 GB 11.2 tok/s Runs well
90Excellent quality (A+) · 90 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q5_K_M 29.0 GB 11.2 tok/s Runs well
90Excellent quality (A+) · 90 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba Q5_K_M 29.5 GB 11.2 tok/s Runs well
89Excellent quality (A+) · 89 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B)Nex-AGI Q5_K_M 28.9 GB 11.2 tok/s Runs well
85Excellent quality (A+) · 85 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. Flint (40B-A2.5B)Recursive Q4_K_M 28.3 GB 16.0 tok/s Runs well
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. KAT-Coder V2.5 Dev (35B-A3B)Kuaishou Q5_K_M 28.6 GB 11.2 tok/s Runs well
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. Sage-A1.5 35B-A3BInternScience Q5_K_M 29.5 GB 11.2 tok/s Runs well
87Excellent quality (A+) · 87 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. Ornith 1.5 35B-A3BDeepReinforce Q5_K_M 29.5 GB 11.2 tok/s Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Apodex 1.1 Mini (35B-A3B)Apodex Q5_K_M 29.5 GB 11.2 tok/s Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.0 35B-A3BDeepReinforce Q5_K_M 29.5 GB 11.2 tok/s Runs well

Best Image models for the Synology RS3626xs 48.0 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. Fibo 2.0 DevBria AI FP16 27.7 GB 31.1 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. Ideogram 4Ideogram FP8 29.9 GB 31.1 min Very slow
85Excellent quality (A+) · 85 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. ERNIE-Image TurboBaidu FP16 26.4 GB 4.4 min Very slow
88Excellent quality (A+) · 88 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. Qwen-Image 2.1 TurboAlibaba Q8 GGUF 31.3 GB 18.4 min Very slow
91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. FLUX 3 Image KleinBlack Forest Labs FP16 22.4 GB 7.9 min Very slow
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. ERNIE-ImageBaidu FP16 34.0 GB 30.4 min Very slow

Best Video models for the Synology RS3626xs 48.0 GB

Quality Model Quant Memory Speed Runs
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Bernini-R A14B (video generation + editing)ByteDance FP8 26.0 GB 14.9 h Very slow
84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Wan 2.2 I2V A14BAlibaba FP8 38.3 GB 33.2 h Very slowtight fit
84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Wan 2.2 T2V A14BAlibaba FP8 38.3 GB 33.2 h Very slowtight fit
78Great quality (A) · 78 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. SCAIL-2 14B (character animation)Zhipu AI FP8 29.8 GB 24.9 h Very slow
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. HunyuanVideo 1.5 (8.3B)Tencent FP8 38.4 GB 37.3 h Very slowtight fit

Best Decision models for the Synology RS3626xs 48.0 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 59 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 140 ms Runs well
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 4.7 GB 1.1 s 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 474 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 4.7 GB 1.1 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 8.4 GB 7.3 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 12.8 GB 14.8 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 28.8 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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