ASUS Ascent GX10 128GB vs NVIDIA GeForce RTX 4090
For running models locally, priced in Canada. At 32k context the first runs 53 models fully in memory, the second 34.
In short
The ASUS Ascent GX10 128GB has more memory for models: 128 GB against 24 GB. At 32k context the ASUS Ascent GX10 128GB runs 53 of the models we track fully in memory and the NVIDIA GeForce RTX 4090 34; only the ASUS Ascent GX10 128GB holds DeepSeek V4 Flash. On the models both run fully in memory, the NVIDIA GeForce RTX 4090 is about 3.7× as fast as the ASUS Ascent GX10 128GB (estimated, median across models). In Canada the ASUS Ascent GX10 128GB costs $8,299 at Amazon and the NVIDIA GeForce RTX 4090 $7,107 at Amazon: the NVIDIA GeForce RTX 4090 is $1,192 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | ASUS Ascent GX10 128GB | NVIDIA GeForce RTX 4090 |
|---|---|---|
| Chip | GB10 Grace Blackwell | – |
| Memory bus | 256-bit | 384-bit |
| Memory bandwidth | 273 GB/s | 1,008 GB/s |
| FP16 compute | 62 TFLOPS | 165 TFLOPS |
| Software | CUDA | CUDA |
| Unified memory | 128 GB | – |
| GPU can use by default | 119 GB | – |
| GPU can use, tuned | 122 GB | – |
| Operating system | dgx-os | – |
| Processor | 20-core Arm (GB10) | – |
| Storage | 1000 GB | – |
| GPU | – | GeForce RTX 4090 |
| 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 | ASUS Ascent GX10 128GB | NVIDIA GeForce RTX 4090 |
|---|---|---|
| DeepSeek V4 Flash | 11tok/sUD-Q2_K_XL | won't run |
| GLM 5.3 Flash | 11tok/sUD-Q2_K_XL | won't run |
| Qwen 3.8 Flash Next | 2tok/sQ4_K_M | won't run |
| MiniMax M2.7 | 8tok/sUD-Q3_K_M | won't run |
| Qwen 3.8 27B | 5tok/sQ8_0 | 27tok/sQ5_K_M |
| Qwen 3.5 122B-A10B | 11tok/sQ6_K | offload |
| Qwen 3.6 27B | 6tok/sQ8_0 | 29tok/sQ5_K_M |
| gpt-oss 120B | 23tok/sMXFP4 | won't run |
| Qwen3 Coder Next | 20tok/sQ8_0 | offload |
| Nemotron 3 Super 120B-A12B | 9tok/sUD-Q6_K | won't run |
| Gemma 4 31B | 5tok/sQ8_0 | 29tok/sQ4_K_M |
| Mistral Small 4 119B | 15tok/sUD-Q6_K | offload |
| Qwen 3.6 35B-A3B | 27tok/sQ8_0 | 145tok/sQ4_K_M |
| Qwen 3.5 27B | 6tok/sQ8_0 | 29tok/sQ5_K_M |
| Gemma 4 26B-A4B | 20tok/sQ8_0 | 84tok/sUD-Q6_K |
| GLM 4.5 Air | 4tok/sQ8_0 | offload |
| Qwen 3.5 35B-A3B | 27tok/sQ8_0 | 146tok/sQ4_K_M |
| Qwen3 Next 80B-A3B | 25tok/sQ8_0 | offload |
| GLM 4.7 Flash | 14tok/sQ8_0 | 70tok/sQ5_K_M |
| Devstral Small 2 24B | 6tok/sQ8_0 | 28tok/sQ5_K_M |
| Nemotron 3.5 Lightning 30B-A3B | 28tok/sUD-Q6_K_XL | offload |
| gpt-oss 20B | 31tok/sMXFP4 | 116tok/sMXFP4 |
| Kimi Linear 48B-A3B | 29tok/sQ8_0 | offload |
| Qwen3 Coder 30B-A3B | 16tok/sQ8_0 | 74tok/sQ4_K_M |
| Qwen3 32B | 4tok/sQ8_0 | offload |
| Gemma 4 12B | 13tok/sQ8_0 | 46tok/sQ8_0 |
| Qwen 3.5 9B | 16tok/sQ8_0 | 59tok/sQ8_0 |
| Mistral Small 3.2 24B | 6tok/sQ8_0 | 28tok/sQ5_K_M |
| Gemma 3 27B | 5tok/sQ8_0 | 28tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 32B | 4tok/sQ8_0 | offload |
| Llama 3.3 70B | 2tok/sQ8_0 | won't run |
| Ministral 3 14B | 9tok/sQ8_0 | 32tok/sQ8_0 |
| Qwen3 14B | 8tok/sQ8_0 | 30tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 13tok/sQ8_0 | 46tok/sQ8_0 |
| Qwen3 8B | 13tok/sQ8_0 | 46tok/sQ8_0 |
| Phi-4 14B | 8tok/sQ8_0 | 28tok/sQ8_0 |
| Qwen 3.5 4B | 30tok/sQ8_0 | 112tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | 46tok/sQ8_0 |
| Granite 4.2 8B | 12tok/sQ8_0 | 43tok/sQ8_0 |
| Gemma 4 E4B | 19tok/sQ8_0 | 68tok/sQ8_0 |
| LFM2.5 8B-A1B | 38tok/sQ8_0 | 140tok/sQ8_0 |
| Llama 3.1 8B | 16tok/sQ6_K | 57tok/sQ6_K |
| Qwen3.5 0.8B | 137tok/sQ8_0 | 507tok/sQ8_0 |
| Qwen3.5 2B | 100tok/sQ4_K_M | 369tok/sQ4_K_M |
| LFM2.5 2.6B | 35tok/sQ8_0 | 128tok/sQ8_0 |
| LFM2.5 VL 3B | 35tok/sQ8_0 | 128tok/sQ8_0 |
| granite 4.2 3b | 26tok/sQ8_0 | 95tok/sQ8_0 |
| LFM2.5 24B A2B | 21tok/sQ8_0 | 84tok/sQ6_K |
| GLM 4.6V Flash | 15tok/sQ8_0 | 55tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 13tok/sQ8_0 | 46tok/sQ8_0 |
| GLM 4.5V | 5tok/sQ8_0 | won't run |
| GLM 4.6V | 5tok/sQ8_0 | won't run |
| granite 4.2 30b | 4tok/sQ8_0 | offload |
| 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 ASUS Ascent GX10 128GB or the NVIDIA GeForce RTX 4090?
- Choose the ASUS Ascent GX10 128GB to run bigger models. Choose the NVIDIA GeForce RTX 4090 for speed. Choose the NVIDIA GeForce RTX 4090 to spend less.
- Which can run bigger models, the ASUS Ascent GX10 128GB or the NVIDIA GeForce RTX 4090?
- At 32k context the ASUS Ascent GX10 128GB runs 53 of the models we track fully in memory and the NVIDIA GeForce RTX 4090 34; only the ASUS Ascent GX10 128GB holds DeepSeek V4 Flash.
- Which is faster for local AI, the ASUS Ascent GX10 128GB or the NVIDIA GeForce RTX 4090?
- On the models both run fully in memory, the NVIDIA GeForce RTX 4090 is about 3.7× as fast as the ASUS Ascent GX10 128GB (estimated, median across models).
- What is the price difference between the ASUS Ascent GX10 128GB and the NVIDIA GeForce RTX 4090?
- In Canada the ASUS Ascent GX10 128GB costs $8,299 at Amazon and the NVIDIA GeForce RTX 4090 $7,107 at Amazon: the NVIDIA GeForce RTX 4090 is $1,192 cheaper.
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