ASUS ProArt P16 64GB
- NVIDIA RTX Spark N1X 20核心 Arm CPU
- Blackwell RTX 6144 CUDA GPU
- 64GB LPDDR5X 統一記憶體
- 1TB NVMe SSD 儲存(可升級 2TB/4TB)
- 16吋 4K OLED 120Hz 觸控螢幕
- Windows 11 Pro(Arm 版)、1.77kg
- 3年保固,10月下依序出貨
Depending on spec, it can run local inference for gpt-oss-20b/120b, Llama 3.3 70B, Qwen3 32B at 4-bit, Gemma 4, and more. The RTX PRO 6000 96GB model can load a quantized 120B model; the 32GB-class models (AI-Medium's Radeon AI PRO R9700, AI-Medium-Gemma's RTX PRO 4500) run 20B-class quantized inference or 13B full-precision inference smoothly.
We recommend at least 48GB of GPU VRAM (such as an RTX PRO 5000, or multiple GPUs pooled together), 64GB+ of system RAM, and an NVMe SSD to speed up weight loading. MAQ's AI-High uses an RTX PRO 5000 48GB card, which sits right at this entry spec; for more headroom, see the AI-Highend with an RTX PRO 6000 96GB card.
Machines ship with Ollama, PyTorch, CUDA, vLLM, ComfyUI, and other inference/training frameworks preinstalled, along with agentic AI development tools such as Claude Code, Cursor, Codex CLI, LangGraph, and CrewAI. Depending on the model, matching LLM weight files (such as gpt-oss, Llama, or Gemma) are also preloaded — the machine is ready to use out of the box.
MAQ provides remote technical support, help with the software environment, and a loaner service for contracted customers (a comparable-spec loaner during repairs) to help resolve system issues without interrupting your work. Contracted customers are covered by next-business-day on-site service anywhere in Taiwan.
If you mainly work in macOS with the MLX framework, or edit 4K/8K video, a Mac Studio's high unified memory (up to 512GB) and low power draw are a good fit. If you need the CUDA ecosystem (PyTorch training, ComfyUI, vLLM), an RTX workstation is the better choice.
Yes. MAQ uses standard ATX cases and industrial-grade power supplies, so the GPU, memory, and SSD can all be upgraded later — by you or through us — avoiding the lock-in of an all-in-one machine.