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    distributed with this work for additional information
    regarding copyright ownership.  The ASF licenses this file
    to you under the Apache License, Version 2.0 (the
    "License"); you may not use this file except in compliance
    with the License.  You may obtain a copy of the License at

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.. _install-from-pypi:

Install from PyPI
=================

For most Python users, the quickest way to get started is to install the Apache
TVM wheel from PyPI:

.. code-block:: bash

   pip install apache-tvm

This installs the Python package, including modules such as ``tvm.tirx``, and
is suitable for trying tutorials that do not require a custom build.

CUDA environments
-----------------

Some CUDA workflows use NVIDIA's Python CUDA bindings for runtime compilation.
Install the CUDA extra in the same environment as TVM when you need this path:

.. code-block:: bash

   pip install "apache-tvm[cuda]"

This extra installs Python-side CUDA bindings only. It does not make the PyPI
wheel a CUDA-enabled TVM build, and it does not install NVIDIA drivers or a CUDA
toolkit. If you need CUDA support in TVM itself, build TVM from source with
``USE_CUDA=ON``.

For more details on installing the TIRx compiler and optional kernel library,
visit the :doc:`TIRx installation </tirx/install>` page. If you need to
customize TVM's build configuration, visit the
:ref:`install TVM from source <install-from-source>` page instead.