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FAR AI is designed to run on widely available consumer and prosumer GPU hardware. The following table summarizes the minimum and recommended specifications for a node.
ComponentMinimumRecommended
GPUNVIDIA, 10 GB VRAM,
RTX 30 series or newer
RTX 3080 / 3090 / 4090 or
equivalent, 16–24 GB VRAM
System RAM16 GB32 GB or more
Storage100 GB free for model
cache, SATA SSD
500 GB or more, NVMe
SSD strongly preferred
Internet100 Mbps for initial setup;
2–3 Mbps ongoing
200 Mbps or more; under
50 ms latency to
orchestrator
Power Supply150 W headroom above
GPU rated power
Stable supply with UPS
protection recommended
Operating SystemWindows 10 (build 19041+)
or Windows 11
Windows 11, latest updates
applied
VRAM is the most important factor for earning potential. More VRAM allows a node to serve larger, more valuable models. NVIDIA drivers must be installed before running the FAR AI installer, the installer handles all other software dependencies automatically. Storage speed has a meaningful impact on job start latency. A large model loads significantly faster from a high-speed NVMe drive than from a standard SATA SSD, and faster load times mean higher effective availability and more earning opportunities. The installer automatically selects the best available drive for model caching.