> ## Documentation Index
> Fetch the complete documentation index at: https://wp.farlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction 

*FAR AI is a distributed AI inference network that makes powerful artificial intelligence fast, affordable, and accessible, by harnessing GPU hardware that already exists around the world.*

Today, accessing state-of-the-art AI requires routing every request through centralized cloud data centers. That model is expensive and capacity-constrained. FAR AI turns the equation on its head: instead of building more data centers, we connect developers who need AI compute with everyday GPU owners who have compute to spare.

Developers access FAR AI through a standard API and get fast, affordable inference on the world's best open-weight language models. GPU owners from individual enthusiasts to gaming cafes to enterprise fleet operators, install the FAR AI Node Client and earn rewards for every request their hardware serves.

Underpinning the network is a cryptographic trust layer that continuously verifies every node is running the model it claims, completing jobs honestly, and reporting energy usage accurately.

This gives developers the reliability and quality they expect from a cloud provider, while keeping the economics and the compute distributed across a global network of operators.

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  "FAR AI connects the world's idle GPU capacity with the world's growing demand for AI, creating a network that scales with people, not data centers."
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