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

# Overview

> Ready-to-run recipes for the high-volume tasks ZeroGPU's nano models are built for.

ZeroGPU is an inference provider. We run specialized small and nano language models across an edge-powered network, purpose-built for the high-volume tasks specific verticals depend on, from ad-tech classification to content moderation to document extraction. The result: more efficient compute, faster latency, and roughly 50% lower cost than frontier-model workflows.

The cookbook turns those models into working code. Each recipe is copy, adapt, and run: a focused walkthrough that combines ZeroGPU with another tool, runtime, or SDK against the OpenAI-compatible endpoint at `https://api.zerogpu.ai/v1`. For single-endpoint request and response shapes, see the [API reference](/api-reference/chat-completions) and [model pages](/docs/model-catalog).

Before you begin, read the [quickstart](/docs/quickstart) to provision an [API key](https://platform.zerogpu.ai/dashboard) and pick a model from the [model catalog](/docs/model-catalog). Bring your own **API key**, **project ID**, and **model** from the [dashboard](https://platform.zerogpu.ai/dashboard); see [Authentication](/docs/platform#authentication) if you haven't set up yet.

## Tutorials

Longer, step-by-step walkthroughs with example data.

<CardGroup cols={2}>
  <Card title="Resume & profile extraction" icon="graduation-cap" href="/cookbook/data-extraction-tutorial">
    Three production-style extraction use cases over plain text (resumes, profile exports, job posts). No OCR.
  </Card>

  <Card title="Tag customer reviews overnight" icon="clock" href="/cookbook/batch-review-tagging">
    Process a CSV of customer reviews with sentiment and topic tagging using the Batch API, including error recovery and result merging.
  </Card>
</CardGroup>

## Integrations & plugins

Recipes that combine ZeroGPU with another tool, runtime, or SDK.

<CardGroup cols={2}>
  <Card title="Sanitize a CSV with the Claude Code plugin" icon="shield" href="/cookbook/claude-code-csv-sanitizer">
    Redact PII from a feedback export and produce an audit log, from a single natural-language prompt.
  </Card>

  <Card title="Screen resumes with LangChain" icon="crow" href="/cookbook/langchain-resume-screening">
    Extract entities, redact PII, and route a candidate from a PDF resume.
  </Card>

  <Card title="Turn content into targeted copy with Claude" icon="tags" href="/cookbook/claude-iab-targeted-copy">
    Classify an article with the IAB model, then have Claude write an ad brief, newsletter blurb, and content pitch from the signals.
  </Card>
</CardGroup>