GMKtec EVO-X2 Ryzen AI Max+ 395 128GB vs NVIDIA GeForce RTX 3090 Ti
In short
The GMKtec EVO-X2 Ryzen AI Max+ 395 128GB has more memory for models: 128 GB against 24 GB. At 32k context the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB runs 52 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 34; 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.
Specifications
| Spec | GMKtec EVO-X2 Ryzen AI Max+ 395 128GB | NVIDIA GeForce RTX 3090 Ti |
|---|---|---|
| Chip | Ryzen AI Max+ 395 (Radeon 8060S) | – |
| Memory bus | 256-bit | 384-bit |
| Memory bandwidth | 256 GB/s | 1,008 GB/s |
| FP16 compute | 59.4 TFLOPS | 80 TFLOPS |
| Software | ROCm | CUDA |
| Unified memory | 128 GB | – |
| GPU can use by default | 96 GB | – |
| GPU can use, tuned | 120 GB | – |
| Operating system | windows | – |
| Processor | Ryzen AI Max+ 395 | – |
| Storage | 2000 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.
| Model | GMKtec EVO-X2 Ryzen AI Max+ 395 128GB | NVIDIA GeForce RTX 3090 Ti |
|---|---|---|
| DeepSeek V4 Flash | 9tok/sUD-Q2_K_XL | won't run |
| Qwen 3.8 Flash Next | 3tok/sUD-Q3_K_XL | won't run |
| MiniMax M2.7 | 7tok/sUD-Q2_K_XL | won't run |
| Qwen 3.8 27B | 5tok/sQ8_0 | 27tok/sQ5_K_M |
| Qwen 3.5 122B-A10B | 9tok/sQ6_K | offload |
| Qwen 3.6 27B | 5tok/sQ8_0 | 29tok/sQ5_K_M |
| gpt-oss 120B | 20tok/sMXFP4 | won't run |
| Qwen3 Coder Next | 17tok/sQ8_0 | offload |
| Nemotron 3 Super 120B-A12B | 9tok/sQ5_K_M | won't run |
| Gemma 4 31B | 4tok/sQ8_0 | 29tok/sQ4_K_M |
| Mistral Small 4 119B | 13tok/sUD-Q6_K | offload |
| Qwen 3.6 35B-A3B | 22tok/sQ8_0 | 145tok/sQ4_K_M |
| Qwen 3.5 27B | 5tok/sQ8_0 | 29tok/sQ5_K_M |
| Gemma 4 26B-A4B | 17tok/sQ8_0 | 84tok/sUD-Q6_K |
| GLM 4.5 Air | 4tok/sQ5_K_M | offload |
| Qwen 3.5 35B-A3B | 22tok/sQ8_0 | 146tok/sQ4_K_M |
| Qwen3 Next 80B-A3B | 21tok/sQ8_0 | offload |
| GLM 4.7 Flash | 12tok/sQ8_0 | 70tok/sQ5_K_M |
| Devstral Small 2 24B | 5tok/sQ8_0 | 28tok/sQ5_K_M |
| Nemotron 3.5 Lightning 30B-A3B | 24tok/sUD-Q6_K_XL | offload |
| gpt-oss 20B | 26tok/sMXFP4 | 116tok/sMXFP4 |
| Kimi Linear 48B-A3B | 24tok/sQ8_0 | offload |
| Qwen3 Coder 30B-A3B | 13tok/sQ8_0 | 74tok/sQ4_K_M |
| Qwen3 32B | 3tok/sQ8_0 | offload |
| Gemma 4 12B | 10tok/sQ8_0 | 46tok/sQ8_0 |
| Qwen 3.5 9B | 13tok/sQ8_0 | 59tok/sQ8_0 |
| Mistral Small 3.2 24B | 5tok/sQ8_0 | 28tok/sQ5_K_M |
| Gemma 3 27B | 4tok/sQ8_0 | 28tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 32B | 3tok/sQ8_0 | offload |
| Llama 3.3 70B | 2tok/sQ8_0 | won't run |
| Ministral 3 14B | 7tok/sQ8_0 | 32tok/sQ8_0 |
| Qwen3 14B | 7tok/sQ8_0 | 30tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 10tok/sQ8_0 | 46tok/sQ8_0 |
| Qwen3 8B | 10tok/sQ8_0 | 46tok/sQ8_0 |
| Phi-4 14B | 6tok/sQ8_0 | 28tok/sQ8_0 |
| Qwen 3.5 4B | 25tok/sQ8_0 | 112tok/sQ8_0 |
| Ministral 3 8B | 10tok/sQ8_0 | 46tok/sQ8_0 |
| Granite 4.2 8B | 10tok/sQ8_0 | 43tok/sQ8_0 |
| Gemma 4 E4B | 15tok/sQ8_0 | 68tok/sQ8_0 |
| LFM2.5 8B-A1B | 32tok/sQ8_0 | 140tok/sQ8_0 |
| Llama 3.1 8B | 13tok/sQ6_K | 57tok/sQ6_K |
| Qwen3.5 0.8B | 114tok/sQ8_0 | 507tok/sQ8_0 |
| Qwen3.5 2B | 83tok/sQ4_K_M | 369tok/sQ4_K_M |
| LFM2.5 2.6B | 29tok/sQ8_0 | 128tok/sQ8_0 |
| LFM2.5 VL 3B | 29tok/sQ8_0 | 128tok/sQ8_0 |
| granite 4.2 3b | 21tok/sQ8_0 | 95tok/sQ8_0 |
| LFM2.5 24B A2B | 18tok/sQ8_0 | 84tok/sQ6_K |
| GLM 4.6V Flash | 12tok/sQ8_0 | 55tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 10tok/sQ8_0 | 46tok/sQ8_0 |
| GLM 4.5V | 6tok/sQ4_K_M | won't run |
| GLM 4.6V | 5tok/sQ4_K_M | won't run |
| granite 4.2 30b | 4tok/sQ8_0 | offload |
| GLM 5.3 Flash | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 5.3 | won't run | won'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 32k context the GMKtec EVO-X2 Ryzen AI Max+ 395 128GB runs 52 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 34; 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.
More comparisons
- ASUS Ascent GX10 128GB vs GMKtec EVO-X2 Ryzen AI Max+ 395 128GB
- Framework Desktop Ryzen AI Max+ 395 128GB vs GMKtec EVO-X2 Ryzen AI Max+ 395 128GB
- AMD Radeon AI PRO R9700 vs NVIDIA GeForce RTX 3090 Ti
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 3090 Ti
- NVIDIA GeForce RTX 3090 Ti vs NVIDIA GeForce RTX 4090
- NVIDIA GeForce RTX 3090 Ti vs NVIDIA GeForce RTX 5090
- NVIDIA GeForce RTX 3090 Ti vs NVIDIA RTX PRO 6000 Blackwell
- NVIDIA GeForce RTX 3090 Ti vs AMD Radeon RX 7900 XTX