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sidebar_position: 1
slug: /intro
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> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lium.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to Lium

Lium is agent-first compute: a GPU rental marketplace built so that an AI agent with only a shell can rent, run and release a GPU without a human in the loop. Providers contribute GPU resources to a global pool; renters access those resources on demand; Lium scores the GPU performance of every node to keep the pool honest.

## Pick your audience

Choose the section that matches what you're here to do:

| Audience | I want to… | Start here |
|----------|-----------|------------|
| **Providers** | Contribute GPU resources and get paid | [Providers →](/providers) |
| **Renters** | Rent GPU compute for ML / data workloads on lium.io | [Renters →](/pod-users) |
| **Developers** | Build with the Lium API or CLI | [Developers →](/developers) |
| **AI agents** | Go from no account to a running GPU pod, headless | [AI Agents →](/developers/agents) |

## Compliance

Lium enforces a strict ban on access to its compute from US embargoed countries and by sanctioned parties, and runs thorough checks to ensure its compute is never accessible from restricted areas. See the [Export Control and Sanctions Policy](/security/export-compliance).

## Agent access

This site is agent-native:

- **If you are an AI agent, start at [AI Agents](/developers/agents)** — the shortest path from no account to a running pod, on one page; then [Scripting for agents](/developers/agent-scripting) for the flags, JSON and exit codes a script relies on.
- Every page is reachable as `<page-url>.md` (e.g. [`/providers/quickstart.md`](/providers/quickstart.md)).
- Send `Accept: text/markdown` to any page URL to get raw markdown.
- AI agents can use the `/mcp` endpoint (`search` + `read_page` tools).
- `/llms.txt` and `/llms-full.txt` are at the site root per the [llmstxt.org](https://llmstxt.org) spec.

## How Lium works

Providers contribute GPU resources to a global pool. Users rent these resources for computational tasks — machine learning, data analysis, inference, training — and providers are paid based on the quality and performance of their GPUs.

- **Providers**: Provide GPU resources, which Lium evaluates and scores.
- **Verification**: Lium connects securely to provider machines to verify hardware specs and performance.
- **Renters**: Rent computational resources through the [lium.io](https://lium.io) platform.

## Contact and support

- **Discord**: [Dedicated channel](https://discord.com/channels/799672011265015819/1291754566957928469)
- **Email**: [support@lium.io](mailto:support@lium.io)
- **GitHub**: [Datura-ai/lium-io](https://github.com/Datura-ai/lium-io)
