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57 changes: 28 additions & 29 deletions docs/source/index.md
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(home)=
# Welcome to the ExecuTorch Documentation

**ExecuTorch** is PyTorch's solution for efficient AI inference on edge devices — from mobile phones to embedded systems.
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::::{grid} 2

:::{grid-item-card} **Get Started**
:link: quick-start-section
:link-type: doc

New to ExecuTorch? Start here for installation and your first model deployment.

[**Get Started**](quick-start-section)
:::

:::{grid-item-card} **Deploy on Edge Platforms**
:link: edge-platforms-section
:link-type: doc

Deploy on Android, iOS, Laptops / Desktops and embedded platforms with optimized backends.

[**Deploy on Edge Platforms**](edge-platforms-section)
:::

:::{grid-item-card} **Work with LLMs**
:link: llm/working-with-llms
:link-type: doc

Export, optimize, and deploy Large Language Models on edge devices.

[**Work with LLMs**](llm/working-with-llms)
:::

:::{grid-item-card} 🔧 **Developer Tools**
:link: tools-section
:link-type: doc

Profile, debug, and inspect your models with comprehensive tooling.

[**Developer Tools**](tools-section)
:::

::::
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::::{grid} 1
:::{grid-item-card} **Intro**
:link: intro-section
:link-type: doc

**Overview, architecture, and core concepts** — Understand how ExecuTorch works and its benefits

[:doc:`Intro`](intro-section)
:::
::::

::::{grid} 1
:::{grid-item-card} **Quick Start**
:link: quick-start-section
:link-type: doc

**Get started with ExecuTorch** — Install, export your first model, and run inference

[:doc:`Quick Start`](quick-start-section)
:::
::::

::::{grid} 1
:::{grid-item-card} **Edge**
:link: edge-platforms-section
:link-type: doc

**Android, iOS, Desktop, Embedded** — Platform-specific deployment guides and examples

[:doc:`Edge`](edge-platforms-section)
:::
::::

::::{grid} 1
:::{grid-item-card} **Backends**
:link: backends-section
:link-type: doc

**CPU, GPU, NPU/Accelerator backends** — Hardware acceleration and backend selection

[:doc:`Backends`](backends-section)
:::
::::

::::{grid} 1
:::{grid-item-card} **LLMs**
:link: llm/working-with-llms
:link-type: doc

**LLM export, optimization, and deployment** — Complete LLM workflow for edge devices

[:doc:`LLMs`](llm/working-with-llms)
:::
::::

::::{grid} 1
:::{grid-item-card} **Advanced**
:link: advanced-topics-section
:link-type: doc

**Quantization, memory planning, custom passes** — Deep customization and optimization

[:doc:`Advanced`](advanced-topics-section)
:::
::::

::::{grid} 1
:::{grid-item-card} **Tools**
:link: tools-section
:link-type: doc

**Developer tools, profiling, debugging** — Comprehensive development and debugging suite

[:doc:`Tools`](tools-section)
:::
::::

::::{grid} 1
:::{grid-item-card} **API**
:link: api-section
:link-type: doc

**API Reference Usages & Examples** — Detailed Python, C++, and Java API references

[:doc:`API`](api-section)
:::
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::::{grid} 1
:::{grid-item-card} **💬 Support**
:link: support-section
:link-type: doc

**FAQ, troubleshooting, contributing** — Get help and contribute to the project

[:doc:`💬 Support`](support-section)
:::
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- Android & iOS
- Linux, macOS, Windows
- Embedded & MCUs
- Go **→ {doc}`edge-platforms-section`**
- Go **→ [:doc:`edge-platforms-section`](edge-platforms-section)**
:::

:::{grid-item}
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- GPU
- NPU
- DSP
- Go **→ {doc}`backends-section`**
- Go **→ [:doc:`backends-section`](backends-section)**
:::

::::
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