Welcome to Serverless GPU API's documentation!
==============================================

Serverless GPU API is a lightweight, easy-to-use library that simplifies launching multi-GPU and
multi-node workloads on `Databricks Serverless GPU Compute <https://docs.databricks.com/aws/en/compute/serverless/gpu>`_,
directly from `Databricks notebooks <https://docs.databricks.com/aws/en/notebooks/>`_.

It provides the same functionality as running launcher scripts such as `torchrun train.py` or 
`accelerate launch train.py` from the command line, but with seamless integration into the
Databricks notebook environment.

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   overview
   installation
   quickstart
   api/modules

Getting Started
===============

Serverless GPU API provides an easy way to run distributed computing workloads on Databricks. 
This documentation will help you get started with Serverless GPU API and understand its capabilities.

Features
========

* Easy-to-use interface for multi-GPU or multi-node workloads
* Integration with Databricks notebooks
* Comprehensive error handling and logging

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`