# What is TinyChain?

TinyChain is a single platform for cloud applications.

TinyChain provides a basic set of cloud data structures, like tables, tensors, and a graph database, as well as security using OAuth 2 and elliptic-key cryptography, in a single runtime that enables developers to prototype a new API in minutes and scale it without rewriting.

Some key features are:

* Automatic cross-service transactions
* Automatic replication
* Automatic concurrency (multithreading)
* Automatic GPU acceleration
* Stateful machine learning models with automatic memory management, even for large datasets
* GPU-accelerated graph database
* Hypothetical queries, which allow a developer to explore the consequences of a database update without committing the update
* Object-relational mapping

## Getting Started

### Guides: Jump right in

Follow our handy guides to get started on the basics as quickly as possible:

{% content-ref url="guides/getting-started" %}
[getting-started](https://docs.tinychain.net/guides/getting-started)
{% endcontent-ref %}

{% content-ref url="guides/python-client-introduction" %}
[python-client-introduction](https://docs.tinychain.net/guides/python-client-introduction)
{% endcontent-ref %}

{% content-ref url="guides/code-a-compute-graph" %}
[code-a-compute-graph](https://docs.tinychain.net/guides/code-a-compute-graph)
{% endcontent-ref %}

### Fundamentals: Dive a little deeper

Learn the fundamentals of TinyChain to get a deeper understanding of its functionality:

{% content-ref url="fundamentals/install-tinychain" %}
[install-tinychain](https://docs.tinychain.net/fundamentals/install-tinychain)
{% endcontent-ref %}

{% content-ref url="fundamentals/technical-details" %}
[technical-details](https://docs.tinychain.net/fundamentals/technical-details)
{% endcontent-ref %}


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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.tinychain.net/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
