# Introducing DistributeAI

### About DistributeAI

Welcome to distribute.ai, where we are redefining the landscape of AI compute and inference through innovation and decentralization. Our mission is to empower both business and consumers through collecting and connecting them with the largest network of decentralized compute. 

#### AI Inference

Users can quickly and efficiently access top models across LLM's, Image gens, and other AI tools at their fingertips through our DistributeAI platform. As open-source models continue to improve at a rapid pace, our decentralized network allows DistributeAI to continue providing inference at scale with frequent updates to our offerings for consumers. 

#### Providing Compute

Through our browser extension and desktop run-time, users can quickly onboard, schedule, and provide compute at their convenience without any barriers or continued maintenance. Simply signup, install, and begin contributing to the largest decentralized compute network. 

#### Developer Access

For developers, accessing cost-effective compute resources is essential for entering the AI space. DistributeAI offers enterprise-grade APIs supported by a robust network, reducing barriers to AI development and deployment. 

#### Our Vision

Decentralized compute and inference in their current form are fundamentally broken. Compute needs to be easier to provide and inference needs to be more agile and freely available. At DistributeAI, we are distinctly focused on creating the easiest onboarding and inference platform available. 

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.distribute.ai/distribute/introducing-distributeai.md?ask=<question>
```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.