> ## 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.

# Core Advantages

| **Open by design** | **Affordable by structure** |
| - | - |
| No proprietary hardware, no vendor lock-in. <br />FAR AI runs on GPUs already owned by millions <br />of people worldwide. | Routing inference through existing hardware<br />removes data center overhead from the cost <br />equation entirely. |
| **Trustworthy by cryptography** | **Fair by construction** |
| Continuous verification means developers <br />get cloud-grade reliability without centralized <br />infrastructure. | Tiered routing ensures that reliability not just <br />raw GPU power determines which operators <br />earn the most. |
| **Scalable by nature** | **Private by roadmap** |
| Capacity grows every time a new node joins. <br />There is no bottleneck at the infrastructure layer. | ZK proofs ensure prompts stay hidden from <br />the FAR AI orchestrator. A confidentiality layer - <br />TEE today, FHE as the long-term target extends <br />that guarantee to the executing node. |

<Note>
  FAR AI is not just a cheaper way to access AI. It is a fundamentally different infrastructure model,  one where the network grows stronger with every node that joins.
</Note>


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