ASUS Ascent GX10 128GB
128 GB unified · 273 GB/s
Prices
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What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | fits | 93.8 GB | 312k557k with q8 cache | 11tok/sest. | 210 tok/s | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | fits | 102.6 GB | 1018k1024k with q8 cache | 11tok/sest. | 282 tok/s | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q4_K_XL | fits | 105.4 GB | 256k | 3tok/sest. | 218 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q3_K_M | fits | 102.9 GB | 96k178k with q8 cache | 8tok/sest. | 593 tok/s | – |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 5tok/sest. | 450 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q6_K | fits | 95.9 GB | 256k | 11tok/sest. | 1055 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 29.7 GB | 256k | 6tok/sest. | 450 tok/s | – |
| gpt-oss 120B OpenAI | MXFP4 | fits | 61.1 GB | 128k | 23tok/sest. | 1704 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 80.7 GB | 256k | 20tok/sest. | 2543 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q6_K | fits | 108.2 GB | 256k | 9tok/sest. | 1067 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 34.6 GB | 256k | 5tok/sest. | 401 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q6_K | fits | 94.2 GB | 923k1024k with q8 cache | 15tok/sest. | 1173 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.9 GB | 256k | 27tok/sest. | 3213 tok/s | chat, coding, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 29.7 GB | 256k | 6tok/sest. | 450 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.7 GB | 256k | 20tok/sest. | 2858 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q8_0 | fits | 116.0 GB | 48k87k with q8 cache | 4tok/sest. | 392 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.9 GB | 256k | 27tok/sest. | 3213 tok/s | chat, coding, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 80.7 GB | 256k | 25tok/sest. | 3026 tok/s | chat, coding, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 32.2 GB | 198k | 14tok/sest. | 1677 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.2 GB | 384k | 6tok/sest. | 475 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.7 GB | 256k | 28tok/sest. | 3666 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.9 GB | 128k | 31tok/sest. | 2398 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 49.8 GB | 1024k | 29tok/sest. | 2769 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 34.1 GB | 256k | 16tok/sest. | 1477 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 41.3 GB | 40k | 4tok/sest. | 279 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 13.5 GB | 256k | 13tok/sest. | 1044 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.8 GB | 256k | 16tok/sest. | 1301 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.2 GB | 128k | 6tok/sest. | 475 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 30.5 GB | 128k | 5tok/sest. | 478 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 41.3 GB | 128k | 4tok/sest. | 321 tok/s | – |
| Llama 3.3 70B Meta | Q8_0 | fits | 80.7 GB | 128k | 2tok/sest. | 152 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.3 GB | 256k | 9tok/sest. | 722 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.5 GB | 40k | 8tok/sest. | 650 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.5 GB | 128k | 13tok/sest. | 1071 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.5 GB | 40k | 13tok/sest. | 1071 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 21.6 GB | 16k | 8tok/sest. | 653 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.1 GB | 256k | 30tok/sest. | 2433 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.5 GB | 256k | 13tok/sest. | 1035 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 14.6 GB | 128k | 12tok/sest. | 985 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 9.4 GB | 128k | 19tok/sest. | 1634 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.8 GB | 125k | 38tok/sest. | 5344 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 11.0 GB | 128k | 16tok/sest. | 1132 tok/s | chat |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- Chip
- GB10 Grace Blackwell
- Memory bus
- 256-bit
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 62 TFLOPS
- Software
- 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