readygpu

GMKtec EVO-X2 Ryzen AI Max+ 395 128GB vs NVIDIA GeForce RTX 3090 Ti

For running models locally, priced in Canada. At 8k context the first runs 68 models fully in memory, the second 51.

In short

The GMKtec EVO-X2 Ryzen AI Max+ 395 128GB has more memory for models: 128 GB against 24 GB. At 8k context the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB runs 68 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 51; only the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB holds DeepSeek V4 Flash. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 4.4× as fast as the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB (estimated, median across models). In Canada the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB costs $5,099 at Amazon and the NVIDIA GeForce RTX 3090 Ti $3,999 at Amazon: the NVIDIA GeForce RTX 3090 Ti is $1,100 cheaper.

Updated . Speeds are estimates; how they are worked out.

GMKtec EVO-X2 Ryzen AI Max+ 395 128GB

$5,099

Amazon

Add to build
NVIDIA GeForce RTX 3090 Ti

$3,999

Amazon

Add to build

Specifications

SpecGMKtec EVO-X2 Ryzen AI Max+ 395 128GBNVIDIA GeForce RTX 3090 Ti
ChipRyzen AI Max+ 395 (Radeon 8060S)–
Memory bus256-bit384-bit
Memory bandwidth256 GB/s1,008 GB/s
FP16 compute59.4 TFLOPS80 TFLOPS
SoftwareROCmCUDA
Unified memory128 GB–
GPU can use by default96 GB–
GPU can use, tuned120 GB–
Operating systemwindows–
ProcessorRyzen AI Max+ 395–
Storage2000 GB–
GPU–GeForce RTX 3090 Ti
Memory–24 GB GDDR6X
Board power–450 W
PCIe generation–Gen 4
PCIe lanes–x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelGMKtec EVO-X2 Ryzen AI Max+ 395 128GBNVIDIA GeForce RTX 3090 Ti
DeepSeek V4 Flash11tok/sUD-Q2_K_XLwon't run
Qwen 3.8 Flash Next3tok/sUD-Q3_K_XLwon't run
MiniMax M2.715tok/sUD-Q2_K_XLwon't run
Qwen 3.8 27B5tok/sQ8_028tok/sUD-Q6_K
Qwen 3.5 122B-A10B10tok/sQ6_Koffload
Qwen 3.6 27B5tok/sQ8_027tok/sQ6_K
gpt-oss 120B25tok/sMXFP4won't run
Qwen3 Coder Next19tok/sQ8_0offload
Nemotron 3 Super 120B-A12B9tok/sQ5_K_Mwon't run
Gemma 4 31B4tok/sQ8_027tok/sQ5_K_M
Mistral Small 4 119B14tok/sUD-Q6_Koffload
Qwen 3.6 35B-A3B26tok/sQ8_0179tok/sQ4_K_M
Qwen 3.5 27B5tok/sQ8_027tok/sQ6_K
Gemma 4 26B-A4B19tok/sQ8_095tok/sUD-Q6_K
GLM 4.5 Air5tok/sQ6_Koffload
Qwen 3.5 35B-A3B26tok/sQ8_0181tok/sQ4_K_M
Qwen3 Next 80B-A3B25tok/sQ8_0offload
GLM 4.7 Flash15tok/sQ8_094tok/sQ5_K_M
Devstral Small 2 24B5tok/sQ8_030tok/sQ6_K
Nemotron 3.5 Lightning 30B-A3B25tok/sUD-Q6_K_XLoffload
gpt-oss 20B32tok/sMXFP4142tok/sMXFP4
Kimi Linear 48B-A3B26tok/sQ8_0offload
Qwen3 Coder 30B-A3B21tok/sQ8_0128tok/sQ5_K_M
Qwen3 32B4tok/sQ8_029tok/sQ4_K_M
Gemma 4 12B11tok/sQ8_048tok/sQ8_0
Qwen 3.5 9B14tok/sQ8_064tok/sQ8_0
Mistral Small 3.2 24B5tok/sQ8_030tok/sQ6_K
Gemma 3 27B5tok/sQ8_027tok/sQ6_K
DeepSeek R1 Distill Qwen 32B4tok/sQ8_028tok/sQ4_K_M
Llama 3.3 70B2tok/sQ8_0offload
Ministral 3 14B9tok/sQ8_040tok/sQ8_0
Qwen3 14B8tok/sQ8_037tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B14tok/sQ8_063tok/sQ8_0
Qwen3 8B14tok/sQ8_063tok/sQ8_0
Phi-4 14B8tok/sQ8_036tok/sQ8_0
Qwen 3.5 4B29tok/sQ8_0130tok/sQ8_0
Ministral 3 8B14tok/sQ8_062tok/sQ8_0
Granite 4.2 8B13tok/sQ8_059tok/sQ8_0
Gemma 4 E4B17tok/sQ8_074tok/sQ8_0
LFM2.5 8B-A1B58tok/sQ8_0256tok/sQ8_0
Llama 3.1 8B18tok/sQ6_K82tok/sQ6_K
Qwen2.5 0.5B223tok/sQ8_0989tok/sQ8_0
Qwen3.5 0.8B151tok/sQ8_0671tok/sQ8_0
Qwen3.5 2B91tok/sQ5_K_M402tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B66tok/sQ8_0294tok/sQ8_0
MiniCPM5 2B46tok/sQ8_0206tok/sQ8_0
LFM2.5 2.6B42tok/sQ8_0185tok/sQ8_0
LFM2.5 VL 3B42tok/sQ8_0185tok/sQ8_0
granite vision 4.1 4b33tok/sQ8_0146tok/sQ8_0
granite 4.2 3b31tok/sQ8_0137tok/sQ8_0
LFM2.5 24B A2B30tok/sQ8_0154tok/sQ6_K
Mellum2.1 12B A2.5B Thinking30tok/sQ8_0133tok/sQ8_0
Kimi VL A3B24tok/smlx-8bit107tok/smlx-8bit
DeepSeek R1 Distill Qwen 7B16tok/sQ8_073tok/sQ8_0
DeepSeek R1 Distill Llama 8B15tok/sQ8_065tok/sQ8_0
Ministral 3 8B Reasoning 251214tok/sQ8_062tok/sQ8_0
GLM 4.6V Flash14tok/sQ8_061tok/sQ8_0
GLM 4.1V 9B Thinking12tok/smlx-8bit52tok/smlx-8bit
GLM 4.5V9tok/sQ4_K_Mwon't run
DeepSeek R1 Distill Qwen 14B8tok/sQ8_036tok/sQ8_0
GLM 4.6V8tok/sQ4_K_Mwon't run
Devstral Small 25075tok/sQ8_035tok/sQ5_K_M
Magistral Small 25065tok/sQ8_030tok/sQ6_K
Magistral Small 25075tok/sQ8_035tok/sQ5_K_M
Magistral Small 25095tok/sQ8_035tok/sQ5_K_M
granite 4.2 30b4tok/sQ8_027tok/sQ5_K_M
DeepSeek R1 Distill Llama 70B2tok/sQ8_0offload
Mistral Medium 3.5 128B2tok/sQ5_K_Mwon't run
GLM 5.3 Flashwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.7won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run

Questions

Which is better for local AI, the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB or the NVIDIA GeForce RTX 3090 Ti?
Choose the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB to run bigger models. Choose the NVIDIA GeForce RTX 3090 Ti for speed. Choose the NVIDIA GeForce RTX 3090 Ti to spend less.
Which can run bigger models, the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB or the NVIDIA GeForce RTX 3090 Ti?
At 8k context the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB runs 68 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 51; only the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB holds DeepSeek V4 Flash.
Which is faster for local AI, the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB or the NVIDIA GeForce RTX 3090 Ti?
On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 4.4× as fast as the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB (estimated, median across models).
What is the price difference between the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB and the NVIDIA GeForce RTX 3090 Ti?
In Canada the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB costs $5,099 at Amazon and the NVIDIA GeForce RTX 3090 Ti $3,999 at Amazon: the NVIDIA GeForce RTX 3090 Ti is $1,100 cheaper.

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