What AI models can the AMD G-Series GX-420MC NAS (16 GB) run?

RAM: 16.0 GB
Usable for models: 12.0 GB
Memory bandwidth: 13 GB/s
Runs models on: CPU cores
Released: 2014

396 / 621 LLMs run Best: K2 Horizon 7B 54 / 61 Image models run Best: FLUX 3 Image Klein 14 / 43 Video models run Best: Bernini-R A14B (video generation + editing) 65 / 70 Decision models run Best: Qwen3 Reranker 4B

A NAS with this chip runs models on its processor cores, so memory speed sets the pace: small models (about 1-4B) answer at a usable speed, bigger ones are slow. We plan around 12.0 GB for models, what is left after the NAS system and its storage services. Models run in a container (Docker) or the maker’s app store, and speeds assume the NAS isn’t busy with storage work.

More about this hardware

Maker	AMD
Type	NAS (network attached storage) processor
Share of memory for models	75% (what the NAS system and its storage services typically leave free at this size)
Chip	AMD G-Series GX-420MC
AI accelerator	None. Models run on the processor cores.
NAS models with this chip	QNAP TS-963X · QNAP TS-463XU · QNAP TS-463XU-RP · QNAP TS-863XU · QNAP TS-863XU-RP · QNAP TS-1263XU · QNAP TS-1263XU-RP
Memory type	System RAM, shared with the NAS operating system and its storage services
Bandwidth figure	12.8 GB/s, estimated, see the note below
Note	One profile for every NAS built on this chip. Memory speed is an estimate from the chip’s supported memory in a typical NAS fitting; a unit with one memory module runs slower than one with two. Speed assumes the NAS is not busy with storage work.
Specifications	www.qnap.com

Apps that run models well on the AMD G-Series GX-420MC NAS (16 GB)

Linux

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

7 products with the AMD G-Series GX-420MC NAS (16 GB)

TS-963XQNAP · NAS · 8 or 16 GBProduct page (opens in a new tab)Discontinued
TS-463XUQNAP · NAS · 4 or 16 GBProduct page (opens in a new tab)Discontinued
TS-463XU-RPQNAP · NAS · 4 or 16 GBProduct page (opens in a new tab)Discontinued
TS-863XUQNAP · NAS · 4 or 16 GBProduct page (opens in a new tab)Discontinued
TS-863XU-RPQNAP · NAS · 4 or 16 GBProduct page (opens in a new tab)Discontinued
TS-1263XUQNAP · NAS · 4 or 16 GBProduct page (opens in a new tab)Discontinued
TS-1263XU-RPQNAP · NAS · 4 or 16 GBProduct page (opens in a new tab)Discontinued

Best LLMs for the AMD G-Series GX-420MC NAS (16 GB)

Quality	Model	Quant	Memory	Speed	Runs
79Great quality (A) · 79 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	K2 Horizon 7BInstitute of Foundation Models	`Q6_K`	10.1 GB	0.3 tok/s	Very slow
78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	`Q4_K_M`	9.5 GB	0.3 tok/s	Very slow
77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	MiMo V2.6 Distill Qwen 9BXiaomi	`Q6_K`	9.5 GB	0.2 tok/s	Very slow
77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	SenseNova Loop 9B PreviewSenseTime	`Q6_K`	10.0 GB	0.2 tok/s	Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 9BDeepReinforce	`Q6_K`	9.7 GB	0.2 tok/s	Very slow
75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	`Q6_K`	9.7 GB	0.2 tok/s	Very slow
74Great quality (A) · 74 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.0 9BDeepReinforce	`Q6_K`	9.7 GB	0.2 tok/s	Very slow
73Great quality (A) · 73 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	TMax 9BAi2	`Q6_K`	9.2 GB	0.3 tok/s	Very slow
70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q8_0`	10.2 GB	0.4 tok/s	Very slow
66Good quality (B) · 66 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.	Mellum2.1 Thinking (12B-A2.5B)JetBrains	`Q4_K_M`	9.1 GB	1.3 tok/s	Very slow
69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	UI-Mate 9BTencent	`Q6_K`	9.5 GB	0.2 tok/s	Very slow
69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	UI-Venus 2 9BAnt Group (inclusionAI)	`Q6_K`	9.5 GB	0.2 tok/s	Very slow

Best Image models for the AMD G-Series GX-420MC NAS (16 GB)

Quality	Model	Quant	Memory	Speed	Runs
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q4 GGUF`	10.2 GB	65.0 min	Very slow
76Great quality (A) · 76 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.	FLUX.2 [klein] 4BBlack Forest Labs	`FP8`	10.2 GB	8.6 min	Very slow
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`Q4 GGUF`	10.1 GB	28.5 min	Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Z-ImageAlibaba (Tongyi)	`Q4 GGUF`	10.1 GB	3.2 h	Very slow
79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-Image TurboBaidu	`Q4 GGUF`	11.3 GB	36.5 min	Very slowtight fit
87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-ImageBaidu	`Q8 GGUF`	11.2 GB	4.2 h	Very slowtight fit · encoder unloaded after use

Best Video models for the AMD G-Series GX-420MC NAS (16 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 62/100 (quality, fit, speed and memory use) sets the ranking.	Bernini-R A14B (video generation + editing)ByteDance	`FP8`	10.7 GB	133.4 h	Very slowtight fit · CPU offload
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	10.8 GB	3.6 h	Very slowtight fit
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	HY-OmniWeaving (8.3B, unified video)Tencent	`FP8`	7.8 GB	98.2 h	Very slowCPU offload
55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 T2V 1.3BAlibaba	`FP16`	8.4 GB	39.9 h	Very slowencoder unloaded after use
55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 VACE 1.3BAlibaba	`FP16`	10.1 GB	43.2 h	Very slowencoder unloaded after use

Best Decision models for the AMD G-Series GX-420MC NAS (16 GB)

Quality	Model	Quant	Memory	Speed	Runs
90Excellent quality (A+) · 90 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.	Qwen3 Reranker 4BAlibaba	`Q8_0`	6.1 GB	459.8 s	Very slow
89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 8BAlibaba	`Q6_K`	8.6 GB	935.4 s	Very slow
88Excellent quality (A+) · 88 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.	zerank-2ZeroEntropy	`Q8_0`	6.1 GB	459.8 s	Very slow
90Excellent quality (A+) · 90 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.	Skywork Reward V2 Llama 3.1 8BSkywork	`Q8_0`	10.4 GB	1,855.1 s	Very slowtight fit
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`	2.4 GB	68.6 s	Very slow
86Excellent quality (A+) · 86 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.	Shieldstral 1.0 3BMistral AI	`Q8_0`	5.9 GB	440.4 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`	2.4 GB	68.6 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.	Intern-Decision 4BShanghai AI Lab	`Q8_0`	6.4 GB	261.0 s	Very slow

Best LLMs by task on this hardware Open in Model Finder

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.