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

# Welcome

Parasail is a cloud GPU platform for AI inference. We aggregate top AI hardware providers to give you scalable, on-demand access to powerful computing resources—without costly hardware investments or lengthy contracts.

We offer three ways to run inference, each designed for a different workload pattern:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Serverless</strong></td><td>On-demand, pay-per-token inference for popular open-source models. No setup required—just call the API.</td><td></td><td></td><td><a href="/pages/AbuAPWxU9zDfEIgukNsK">/pages/AbuAPWxU9zDfEIgukNsK</a></td></tr><tr><td><strong>Dedicated Instances</strong></td><td>Private GPU endpoints with full control over model, hardware, and scaling. Ideal for production workloads.</td><td></td><td></td><td><a href="/pages/dvVsRgLfPYaM2uxDi8Gw">/pages/dvVsRgLfPYaM2uxDi8Gw</a></td></tr><tr><td><strong>Batch Processing</strong></td><td>Process millions of inferences at 50% off serverless pricing. OpenAI-compatible batch API.</td><td></td><td></td><td><a href="/pages/51IF2LvdW8BHeIjbfIMj">/pages/51IF2LvdW8BHeIjbfIMj</a></td></tr></tbody></table>

## Not sure where to start?

Pick a product based on your workload:

| If you...                                                                 | Use                                                              | Why                                                                      |
| ------------------------------------------------------------------------- | ---------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Want to call a popular open-source model with no setup                    | [**Serverless**](/parasail-docs/products/overview.md)            | Pay-per-token, instant, OpenAI-compatible                                |
| Need a specific or private model, predictable latency, or production SLAs | [**Dedicated Instances**](/parasail-docs/products/overview-1.md) | Private GPU endpoint with full control over model, hardware, and scaling |
| Process large volumes offline where real-time isn't required              | [**Batch**](/parasail-docs/products/quickstart.md)               | 50% off serverless pricing, up to millions of requests                   |

## Find your path

Choose the option that best matches what you're trying to do:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Chat and text generation</strong></td><td>Build chatbots, assistants, and text generation pipelines</td><td></td><td></td><td><a href="/pages/9NzGG4P8mD9sCd9NCJMK">/pages/9NzGG4P8mD9sCd9NCJMK</a></td></tr><tr><td><strong>RAG and embeddings</strong></td><td>Build retrieval-augmented generation and vector search systems</td><td></td><td></td><td><a href="/pages/VgTsKmx1uUyZtUKwy1WK">/pages/VgTsKmx1uUyZtUKwy1WK</a></td></tr><tr><td><strong>Batch at scale</strong></td><td>Process large volumes of prompts, images, or text offline</td><td></td><td></td><td><a href="/pages/AXpJHRJH9bgHtkexfQ2q">/pages/AXpJHRJH9bgHtkexfQ2q</a></td></tr><tr><td><strong>Agents and tool calling</strong></td><td>Build agentic workflows with function calling and multi-step reasoning</td><td></td><td></td><td><a href="/pages/AwBBAik6tiXQRBQzxem9">/pages/AwBBAik6tiXQRBQzxem9</a></td></tr><tr><td><strong>Browser and UI automation</strong></td><td>Automate browser tasks and GUI interactions with vision models</td><td></td><td></td><td><a href="/pages/jA08SyPNrWTQdemUTvP1">/pages/jA08SyPNrWTQdemUTvP1</a></td></tr></tbody></table>

## Quickstart

Make your first API call in under two minutes:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Serverless quickstart</strong></td><td>Call a serverless model with the OpenAI SDK</td><td></td><td></td><td><a href="/pages/cqVFBa1P7r5p7nfFbCnL">/pages/cqVFBa1P7r5p7nfFbCnL</a></td></tr><tr><td><strong>Dedicated quickstart</strong></td><td>Deploy your own model on a dedicated GPU</td><td></td><td></td><td><a href="/pages/UcIhEOaxPYRZMC3qQ7xw">/pages/UcIhEOaxPYRZMC3qQ7xw</a></td></tr><tr><td><strong>Batch quickstart</strong></td><td>Submit a batch job in five lines of Python</td><td></td><td></td><td><a href="/pages/OrPZ7ZRehYXxzse9LB3u">/pages/OrPZ7ZRehYXxzse9LB3u</a></td></tr></tbody></table>

## API reference

Parasail's API is fully OpenAI-compatible. Point your existing OpenAI SDK at our base URL and start making requests.

* **Base URL**: `https://api.parasail.io/v1`
* **Auth**: `Authorization: Bearer <PARASAIL_API_KEY>`
* **Get an API key**: <https://www.saas.parasail.io/keys>

See the [API Reference](/parasail-docs/api-reference/authentication.md) for full details on authentication, endpoints, and parameters.

## For AI coding agents

Building on Parasail on behalf of a user? Read [`llms.txt`](https://github.com/parasail-ai/gitbook-doc/blob/main/llms.txt) for a flat index of every page, then see [For AI Coding Agents](/parasail-docs/resources/for-ai-coding-agents.md) for per-product setup notes. In short: use the OpenAI SDK against `https://api.parasail.io/v1` with the `PARASAIL_API_KEY` environment variable—every endpoint is OpenAI-compatible.

## Explore

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Guides</strong></td><td>Step-by-step tutorials for common tasks</td><td></td><td></td><td><a href="/pages/fCGvKxrehXKm6u7ta71R">/pages/fCGvKxrehXKm6u7ta71R</a></td></tr><tr><td><strong>Billing</strong></td><td>Pricing, rate limits, and quota management</td><td></td><td></td><td><a href="/pages/8hnW6Po2Bj1dutmH0v2j">/pages/8hnW6Po2Bj1dutmH0v2j</a></td></tr><tr><td><strong>Security</strong></td><td>Data privacy, compliance, and API key management</td><td></td><td></td><td><a href="/pages/reCnV1oJm5Rzj9QnXa4c">/pages/reCnV1oJm5Rzj9QnXa4c</a></td></tr><tr><td><strong>Resources</strong></td><td>Community guides and third-party integrations</td><td></td><td></td><td><a href="/pages/eWwm8YtUZYYgUDvXBdyp">/pages/eWwm8YtUZYYgUDvXBdyp</a></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.parasail.io/parasail-docs/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
