Documentation Index
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About FAR Labs

Core Concept of FAR AI

Executive Summary

Introduction

The Problem

AI Inference Is Too Expensive
Centralized Infrastructure Doesn't Scale Sustainably
The Trust Gap in Distributed Compute

The FAR AI Solution

Solution
For Developers
For Node Operators
The FAR AI Orchestrator

How It Works

A Request: From Start to Finish
Single and Multi-Node Inferences
Model Management

FAR AI Security

Trust and Verification
Challenge of Third-Party Compute
How Verification Works
What Happens When Something Goes Wrong
The Road to Zero-Knowledge Proofs

The Reliability Score

Overview
What It Is
What the Score Measures
No Capital Gates
The Routing Bonus

Economic Model

How Node Operators Earn
Fair Earnings Across Hardware Tiers
For Developers: Predictable, Competitive Pricing

Node Requirements

System Requirements
Multi-Machine Setups

Developer Experience

Drop-In Compatibility
Available Models
Transparency and Observability
Support for Advanced Capabilities

Roadmap

Product Timeline

Why FAR AI

Core Advantages

Get Started

Start Here

The Reliability Score

Overview

The Reliability Score is how FAR AI ensures that the best developers get routed to the best nodes automatically, continuously, and without operator intervention.

The Road to Zero-Knowledge Proofs

What It Is

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Responses are generated using AI and may contain mistakes.