> For the complete documentation index, see [llms.txt](https://docs.xynq.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.xynq.ai/key-features.md).

# Key Features

#### Free inference

There is no metered billing for users. Capacity comes from donated GPU time, and the coordination layer is funded by the $XYNQ token economy rather than by charging users.

#### No accounts

No email, no password, no wallet connection required to chat. You are never asked who you are.

#### Zero-retention privacy

Conversations are held only in your browser session memory. They are never persisted to a server-side database and are wiped when you refresh or close the tab.

#### Multiple models

Choose the model that fits your task — a fast generalist, a strong open reasoning model, or a compact instruction-tuned model — and switch at any time.

#### Live network telemetry

The **Network** tab shows the fleet in real time: node count, aggregate VRAM, total compute, per-GPU utilization, temperature, and power draw.

#### Elastic capacity

The network grows and shrinks with its contributors. Peak hours pull in more idle machines; quiet hours release them.

#### Permissionless contribution

Anyone with a supported GPU can join the mesh, serve inference, and earn $XYNQ — no approval process.

#### Sustainable economics

Protocol fees are split between a **buyback-and-burn** of $XYNQ and a **public treasury**, aligning the network's growth with the people who use and power it.


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