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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | fits | 102.4 GB | 312k557k with q8 cache | 6tok/sest. | 68 tok/s | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | fits | 104.2 GB | 1018k1024k with q8 cache | 10tok/sest. | 114 tok/s | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q4_K_XL | fits | 108.2 GB | 256k | 3tok/sest. | 196 tok/s | – |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 36.6 GB | 256k | 5tok/sest. | 343 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | fits | 102.6 GB | 194k200k with q8 cache | 3tok/sest. | 229 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q6_K | fits | 98.7 GB | 256k | 9tok/sest. | 610 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 36.2 GB | 256k | 5tok/sest. | 343 tok/s | – |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 83.5 GB | 256k | 14tok/sest. | 1352 tok/s | chat, coding |
| gpt-oss 120B OpenAI | MXFP4 | fits | 65.0 GB | 128k | 13tok/sest. | 904 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q6_K | fits | 109.5 GB | 256k | 8tok/sest. | 856 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 42.6 GB | 256k | 4tok/sest. | 326 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q6_K | fits | 96.9 GB | 923k1024k with q8 cache | 11tok/sest. | 529 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.4 GB | 256k | 17tok/sest. | 1667 tok/s | chat, coding, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 36.2 GB | 256k | 5tok/sest. | 343 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.2 GB | 256k | 14tok/sest. | 2024 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q6_K | fits | 116.7 GB | 128k | 3tok/sest. | 153 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.4 GB | 256k | 17tok/sest. | 1667 tok/s | chat, coding, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 83.5 GB | 256k | 16tok/sest. | 1477 tok/s | chat, coding, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 37.7 GB | 198k | 8tok/sest. | 786 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 44.8 GB | 384k | 4tok/sest. | 307 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.8 GB | 256k | 24tok/sest. | 2242 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 51.1 GB | 1024k | 24tok/sest. | 1251 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 15.7 GB | 128k | 18tok/sest. | 1310 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 43.7 GB | 256k | 6tok/sest. | 485 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 65.9 GB | 40k | 2tok/sest. | 138 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 15.6 GB | 256k | 11tok/sest. | 841 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.4 GB | 256k | 12tok/sest. | 1000 tok/s | chat |
| Gemma 3 27B | Q8_0 | fits | 38.6 GB | 128k | 4tok/sest. | 420 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 44.8 GB | 128k | 4tok/sest. | 307 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 65.9 GB | 128k | 2tok/sest. | 184 tok/s | – |
| Llama 3.3 70B Meta | Q8_0 | fits | 111.3 GB | 128k | 1tok/sest. | 89 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 34.8 GB | 256k | 5tok/sest. | 394 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 36.1 GB | 40k | 5tok/sest. | 335 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 27.6 GB | 128k | 6tok/sest. | 507 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 27.6 GB | 40k | 6tok/sest. | 507 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 41.0 GB | 16k | 4tok/sest. | 336 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 9.7 GB | 256k | 19tok/sest. | 1558 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 26.9 GB | 256k | 6tok/sest. | 513 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.2 GB | 128k | 6tok/sest. | 461 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 12.6 GB | 128k | 14tok/sest. | 1402 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 15.8 GB | 125k | 14tok/sest. | 1874 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 23.6 GB | 128k | 7tok/sest. | 553 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