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N.O.M.A.D. itself is lightweight — it’s the tools and content you choose to install that determine the hardware you actually need. A barebones installation of the Command Center runs on modest hardware, but getting the most out of the AI tools requires a capable, ideally GPU-backed machine.
Project N.O.M.A.D. is not sponsored by any hardware manufacturer and is designed to be hardware-agnostic. Hardware listed here is for comparison purposes only.

Minimum specs

For a barebones installation of the Command Center and non-AI tools:

Optimal specs

To run LLMs and other AI tools at full performance:
More GPU VRAM allows you to run larger AI models. The community sweet spot is an AMD Ryzen 7 with 16 GB+ RAM. For detailed build recommendations at three price points (150150–1,000+), see the Hardware Guide.

Storage requirements

Storage needs scale with the content you download. Plan accordingly: Start with essentials and add more as needed. Check available storage at any time in Settings → System.
Use an SSD for your primary storage. Disk speed directly affects AI response times and content search performance.

GPU acceleration for AI

Running AI locally requires significant computing power. Adding an NVIDIA GPU with the NVIDIA Container Toolkit can improve AI response speeds by 10–20x or more compared to CPU-only operation.
  • CPU-only systems typically achieve 10–15 tokens per second
  • GPU-accelerated systems typically achieve 100+ tokens per second
N.O.M.A.D. automatically detects NVIDIA GPUs when the Container Toolkit is installed. If you add a GPU after initial setup, go to Settings → Apps, find the AI Assistant, and click Force Reinstall to reconfigure the AI container with GPU support.
AMD GPUs are supported for general use. NVIDIA GPUs with the NVIDIA Container Toolkit provide the best AI acceleration support in the current release.

Further reading

For curated build recommendations at three price points — from a budget 150builduptoa150 build up to a 1,000+ powerhouse — see the full hardware guide: Hardware Guide → projectnomad.us/hardware