This guide shows how to download and install the packaged version of CARLA. The package includes the CARLA server and the Python API client library ready to run out of the box and does not require any build process. There are additional assets that can be downloaded and imported into the package. Advanced customization and development options that require use of the Unreal Engine editor are not available but these can be accessed by using the build version of CARLA for either [Windows](build_windows.md) or [Linux](build_linux.md).
* __An adequate GPU.__ CARLA aims for realistic simulations, so the server needs at least a 6 GB GPU although we would recommend 8 GB. A dedicated GPU is highly recommended for machine learning.
* __Disk space.__ CARLA will use about 20 GB of space.
* __Two TCP ports and good internet connection.__ 2000 and 2001 by default. Make sure that these ports are not blocked by firewalls or any other applications.
* __Other requirements.__ Two Python modules: [Pygame](https://pypi.org/project/pygame/) to create graphics directly with Python, and [Numpy](https://pypi.org/project/numpy/) for calculus. Install them using:
To install CARLA versions prior to 0.9.10, change to a previous version of the documentation using the panel in the bottom right corner of the window, and follow the old instructions.
<ahref="https://github.com/carla-simulator/carla/blob/master/Docs/download.md"target="_blank"class="btn btn-neutral"title="Go to the latest CARLA release">
This repository contains different versions of CARLA. You will find options to download the __current release__ with all the most recent fixes and features, __previous releases__ and a __nightly build__ with all the developmental fixes and features (the nightly build is the most unstable version of CARLA).
The package is a compressed file named __CARLA_version.number__. Download and extract the release file. It contains a precompiled version of the simulator, the Python API module and some scripts to be used as examples.
Each release has it's own additional package of extra assets and maps. This additional package includes the maps __Town06__, __Town07__, and __Town10__. These are stored separately to reduce the size of the build, so they can only be imported after the main package has been installed.
A window containing a view over the city will pop up. This is the _spectator view_. To fly around the city use the mouse and `WASD` keys, holding down the right mouse button to control the direction.
This is the server simulator which is now running and waiting for a client to connect and interact with the world. You can try some of the example scripts to spawn life into the city and drive a car:
*`-carla-rpc-port=N` Listen for client connections at port `N`. Streaming port is set to `N+1` by default.
*`-carla-streaming-port=N` Specify the port for sensor data streaming. Use 0 to get a random unused port. The second port will be automatically set to `N+1`.
*`-quality-level={Low,Epic}` Change graphics quality level. Find out more in [rendering options](adv_rendering_options.md).
* __[List of Unreal Engine 4 command-line arguments][ue4clilink].__ There are a lot of options provided by Unreal Engine however not all of these are available in CARLA.
There is no way to update the packaged version of CARLA. When a new version is released, the repository is updated and you will need to delete the previous version and install the new version.
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## Installation summary
```sh
# Install required modules Pygame and Numpy
python3 -m pip install --user pygame numpy # Support for Python 2 is provided in the CARLA release packages
# There are two different ways to install CARLA
# Option A) Debian package installation
# This repository contains CARLA 0.9.10 and later. To install previous CARLA versions, change to a previous version of the docs using the panel in the bottom right part of the window
By now you should have a packaged version of CARLA up and running. If you came across any difficulties during the installation process, feel free to post in the [CARLA forum](https://forum.carla.org/) or in the [Discord](https://discord.gg/8kqACuC) channel.
The next step is to learn more about the core concepts in CARLA. Read the __First steps__ section to start learning. You can also find all the information about the Python API classes and methods in the [Python API reference](python_api.md).
