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

# Introduction

> Learn about TAHO, the distributed compute runtime for AI/ML workloads

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/getting-started/quickstart">
    Start the daemon and run your first distributed workflow
  </Card>

  <Card title="The Mesh" icon="waypoints" href="/core-concepts/the-mesh">
    Learn about the self-forming P2P network architecture
  </Card>

  <Card title="Content Exchange" icon="database" href="/core-concepts/content-exchange">
    Understand content-addressed storage and distribution
  </Card>

  <Card title="CLI Reference" icon="terminal" href="/cli-reference/getting-started">
    Complete command-line interface documentation
  </Card>
</CardGroup>

## What is TAHO?

TAHO is a distributed compute runtime that streams, compiles, and runs AI/ML workloads and WebAssembly components from remote repositories. It provides a peer-to-peer network called "The Mesh" for component orchestration and deployment automation.

## Why TAHO?

TAHO enables self-adaptive systems for AI/ML workloads with content-addressed storage and automatic peer discovery. The Mesh self-forms across nodes, allowing distributed AI inference, content sharing, and collaborative computing without centralized coordination.

## Key Features

* **The Mesh**: Self-forming P2P network for distributed computing with automatic peer discovery and connection
* **Content Exchange**: Content-addressed storage with BLAKE3 hashing for deduplication and integrity
* **AI/ML Inference**: Native support for LLMs, ONNX models, and Stable Diffusion
* **CLI-First Design**: Complete control via command-line interface with daemon mode for services