docs: Updated documentation and Sphinx configuration (#1845)

# What does this PR do?

The goal of this PR is to make the pages easier to navigate by surfacing
the child pages on the navbar, updating some of the copy, moving some of
the files around.

Some changes:
1. Clarifying Titles
2. Restructuring "Distributions" more formally in its own page to be
consistent with Providers and adding some clarity to the child pages to
surface them and make them easier to navigate
3. Updated sphinx config to not collapse navigation by default
4. Updated copyright year to be calculated dynamically 
5. Moved `docs/source/distributions/index.md` ->
`docs/source/distributions/starting_llama_stack_server.md`

Another for https://github.com/meta-llama/llama-stack/issues/1815

## Test Plan
Tested locally and pages build (screen shots for example).

## Documentation
###  Before:
![Screenshot 2025-03-31 at 1 09
21 PM](https://github.com/user-attachments/assets/98e34f76-f0d9-4055-8e2c-441b1e7d8f6a)

### After:
![Screenshot 2025-03-31 at 1 08
52 PM](https://github.com/user-attachments/assets/dfb6b8ad-3a1d-46b6-8f54-0c553664093f)

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Arceo 2025-03-31 14:08:05 -06:00 committed by GitHub
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# Available List of Distributions
Here are a list of distributions you can use to start a Llama Stack server that are provided out of the box.
## Selection of a Distribution / Template
Which templates / distributions to choose depends on the hardware you have for running LLM inference.
- **Do you want a hosted Llama Stack endpoint?** If so, we suggest leveraging our partners who host Llama Stack endpoints. Namely, _fireworks.ai_ and _together.xyz_.
- Read more about it here - [Remote-Hosted Endpoints](remote_hosted_distro/index).
- **Do you have access to machines with GPUs?** If you wish to run Llama Stack locally or on a cloud instance and host your own Llama Stack endpoint, we suggest:
- {dockerhub}`distribution-remote-vllm` ([Guide](self_hosted_distro/remote-vllm))
- {dockerhub}`distribution-meta-reference-gpu` ([Guide](self_hosted_distro/meta-reference-gpu))
- {dockerhub}`distribution-tgi` ([Guide](self_hosted_distro/tgi))
- {dockerhub}`distribution-nvidia` ([Guide](self_hosted_distro/nvidia))
- **Are you running on a "regular" desktop or laptop ?** We suggest using the ollama template for quick prototyping and get started without having to worry about needing GPUs.
- {dockerhub}`distribution-ollama` ([Guide](self_hosted_distro/ollama))
- **Do you have an API key for a remote inference provider like Fireworks, Together, etc.?** If so, we suggest:
- {dockerhub}`distribution-together` ([Guide](self_hosted_distro/together))
- {dockerhub}`distribution-fireworks` ([Guide](self_hosted_distro/fireworks))
- **Do you want to run Llama Stack inference on your iOS / Android device?** Lastly, we also provide templates for running Llama Stack inference on your iOS / Android device:
- [iOS SDK](ondevice_distro/ios_sdk)
- [Android](ondevice_distro/android_sdk)
- **If none of the above fit your needs, you can also build your own [custom distribution](building_distro.md).**
### Distribution Details
```{toctree}
:maxdepth: 1
remote_hosted_distro/index
self_hosted_distro/remote-vllm
self_hosted_distro/meta-reference-gpu
self_hosted_distro/tgi
self_hosted_distro/nvidia
self_hosted_distro/ollama
self_hosted_distro/together
self_hosted_distro/fireworks
```
### On-Device Distributions
```{toctree}
:maxdepth: 1
ondevice_distro/ios_sdk
ondevice_distro/android_sdk
```