Synology FS6420

Products · · NAS

Synology FS6420

Processor
AMD EPYC 7002 / 7003 series
Memory (RAM)
64 or 512 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 EPYC 7002 / 7003 series 64.0 GB 54.4 GB 205 GB/s 420 of 619 —
AMD EPYC 7002 / 7003 series · upgraded to 512 GB (the maker lists up to 1 TB) 512 GB 471 GB 205 GB/s 459 of 619 —

Specifications 64.0 GB configuration

MakerSynology
TypeNAS
ProcessorAMD EPYC 7002 / 7003 series NAS (64 GB)
Memory (RAM)64.0 GB
Usable for AI models54.4 GB
Memory bandwidth205 GB/s
FP16 compute1.0 TFLOPS
Runs models onCPU cores
Drive bays24x 2.5" SATA SSD
NAS systemDSM 7.x
Containers (Docker)Yes
Virtual machinesYes
Memory upgradeDDR4 ECC RDIMM · 16 slots · up to 1,024 GB per the maker · ECC
Graphics card optionsPCIe: 2 x Gen4 x16 slot (x16 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).
NotesAMD EPYC 7303. x86-64, up to 1024 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 FS6420

Yes, it runs AI models on the NAS itself. Models run on its CPU cores, and this configuration leaves about 54.4 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 FS6420 64.0 GB

Quality Model Quant Memory Speed Runs
87Excellent quality (A+) · 87 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Flint (40B-A2.5B)Recursive Q5_K_M 33.4 GB 39.7 tok/s Runs great
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Kolibri 1 (78B-A3.5B)Aleph Alpha Q4_K_M 52.8 GB 35.5 tok/s Runs welltight fit
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q4_K_M 27.0 GB 40.2 tok/s Runs great
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba Q4_K_M 27.0 GB 40.2 tok/s Runs great
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q4_K_M 26.6 GB 40.2 tok/s Runs great
81Great quality (A) · 81 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Coder Next (80B-A3B)Alibaba Q4_K_M 53.8 GB 40.2 tok/s Runs welltight fit
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B)Nex-AGI Q4_K_M 26.5 GB 40.2 tok/s Runs great
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Sage-A1.5 35B-A3BInternScience Q4_K_M 27.0 GB 40.2 tok/s Runs great
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. KAT-Coder V2.5 Dev (35B-A3B)Kuaishou Q4_K_M 26.3 GB 40.2 tok/s Runs great
85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 35B-A3BDeepReinforce Q4_K_M 27.0 GB 40.2 tok/s Runs great

Best Image models for the Synology FS6420 64.0 GB

Quality Model Quant Memory Speed Runs
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Krea 2 TurboKrea FP16 37.4 GB 2.9 min Very slow
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs FP16 37.1 GB 74 s Slow
92Excellent quality (A+) · 92 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Qwen-Image 2.1Alibaba Q8 GGUF 41.6 GB 47.3 min Very slow
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. Qwen-Image 2512Alibaba Q8 GGUF 36.5 GB 70.9 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 15.1 min Very slow
93Excellent quality (A+) · 93 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. Fibo 2.0 DevBria AI FP16 27.7 GB 15.4 min Very slow

Best Video models for the Synology FS6420 64.0 GB

Quality Model Quant Memory Speed Runs
86Excellent quality (A+) · 86 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. LTX-2.5 (22B, video + audio)Lightricks FP8 48.3 GB 56.1 min Very slowtight fit
85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. LTX-2.3Lightricks Q8 GGUF 45.6 GB 5.3 h Very slow
85Excellent quality (A+) · 85 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. Bernini-R A14B (video generation + editing)ByteDance FP16 46.0 GB 8.2 h Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. Wan 2.2 I2V A14BAlibaba Q8 GGUF 39.3 GB 21.0 h Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. Wan 2.2 T2V A14BAlibaba Q8 GGUF 39.3 GB 21.0 h Very slow

Best Decision models for the Synology FS6420 64.0 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 44 ms Runs great
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 103 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino Q8_0 1.2 GB 345 ms Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI Q8_0 5.8 GB 780 ms Slow
84Great quality (A) · 84 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 v3Jina AI Q8_0 5.8 GB 780 ms 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 9.5 GB 5.2 s Very slow
66Good quality (B) · 66 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. GLiClass Base v3Knowledgator Q8_0 0.8 GB 136 ms Runs well
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. FRIDA-DecisionsSber AI Q8_0 1.7 GB 574 ms Slow

Other products with the AMD EPYC 7002 / 7003 series NAS (64 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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