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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | fits | 91.6 GB | 312k557k with q8 cache | 14tok/sest. | 437 tok/s | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | fits | 102.2 GB | 1018k1024k with q8 cache | 12tok/sest. | 444 tok/s | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q4_K_XL | fits | 104.7 GB | 256k | 3tok/sest. | 224 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q3_K_M | fits | 97.0 GB | 96k178k with q8 cache | 15tok/sest. | 986 tok/s | – |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 256k | 6tok/sest. | 488 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q6_K | fits | 95.1 GB | 256k | 12tok/sest. | 1291 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 256k | 6tok/sest. | 488 tok/s | – |
| gpt-oss 120B OpenAI | MXFP4 | fits | 60.1 GB | 128k | 30tok/sest. | 2189 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 80.0 GB | 256k | 23tok/sest. | 3261 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q6_K | fits | 107.8 GB | 256k | 9tok/sest. | 1137 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 32.5 GB | 256k | 5tok/sest. | 426 tok/s | – |
| Mistral Small 4 119B Mistral AI | Q8_0 | fits | 118.7 GB | 18k29k with q8 cache | 13tok/sest. | 1687 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.3 GB | 256k | 31tok/sest. | 4182 tok/s | chat, coding, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 256k | 6tok/sest. | 488 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.1 GB | 256k | 22tok/sest. | 3187 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q8_0 | fits | 111.6 GB | 48k87k with q8 cache | 5tok/sest. | 644 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.3 GB | 256k | 31tok/sest. | 4182 tok/s | chat, coding, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 80.0 GB | 256k | 30tok/sest. | 4100 tok/s | chat, coding, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 30.8 GB | 198k | 18tok/sest. | 2341 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.3 GB | 384k | 6tok/sest. | 550 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.4 GB | 256k | 30tok/sest. | 4358 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.2 GB | 128k | 39tok/sest. | 3027 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 49.5 GB | 1024k | 31tok/sest. | 3975 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 31.7 GB | 256k | 25tok/sest. | 3026 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.2 GB | 40k | 5tok/sest. | 376 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 13.0 GB | 256k | 13tok/sest. | 1110 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 256k | 17tok/sest. | 1406 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.3 GB | 128k | 6tok/sest. | 550 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 28.5 GB | 128k | 6tok/sest. | 495 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.2 GB | 128k | 5tok/sest. | 394 tok/s | – |
| Llama 3.3 70B Meta | Q8_0 | fits | 73.1 GB | 128k | 2tok/sest. | 184 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.4 GB | 256k | 11tok/sest. | 913 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.6 GB | 40k | 10tok/sest. | 848 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.0 GB | 128k | 17tok/sest. | 1484 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 40k | 17tok/sest. | 1484 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.8 GB | 16k | 10tok/sest. | 854 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 256k | 35tok/sest. | 2831 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.2 GB | 256k | 17tok/sest. | 1387 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.7 GB | 128k | 16tok/sest. | 1377 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 128k | 20tok/sest. | 1704 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.5 GB | 125k | 69tok/sest. | 9945 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 128k | 22tok/sest. | 1532 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