Installation#

Installing Conda Packages#

Legate is available from conda on the legate channel.

Note

conda version >= 24.1 required

# with a new environment
$ conda create -n myenv -c conda-forge -c legate legate

# =========== OR =========== #

# into an existing environment
$ conda install -c conda-forge -c legate legate

You will probably also want to install some downstream libraries built on top of Legate, e.g. cuPyNumeric:

$ conda install -c conda-forge -c legate cupynumeric

Important

Packages are offered for Linux (x86_64 and aarch64) and macOS (aarch64, pip wheels only), supporting Python versions 3.11 to 3.14. Windows is only supported through WSL.

Nightly top-of-tree builds of Legate are available on a separate channel, legate-nightly:

$ conda install -c conda-forge -c legate-nightly legate

Refer to the nightly docs when using these.

Important

These builds are only lightly validated. Use them at your own risk.

Conda and GPU / CPU Variants#

conda automatically installs the right variant for the system: * CPU variant if no NVIDIA GPU is detected * GPU variant if an NVIDIA GPU is detected

To override this behavior and force install a version with GPU support, use the following (with the desired CUDA version):

$ CONDA_OVERRIDE_CUDA="12.2" \
    conda install -c conda-forge -c legate legate

Installing PyPI Packages#

Legate is also available as a Python wheel. To install the Legate wheel, use the pip package manager:

# into existing environment
$ pip install legate

# =========== OR =========== #

# into new environment
$ python -m venv myenv
$ source myenv/bin/activate
$ pip install legate

The Legate wheel comes with GPU support and UCX-based networking support. Similarly to the Conda packages, the Legate wheel will probably be installed alongside downstream libraries, such as cuPyNumeric, which is also available as a wheel:

$ pip install nvidia-cupynumeric

Important

Packages are offered for Linux (x86_64 and aarch64) and macOS (aarch64, pip wheels only), supporting Python versions 3.11 to 3.14. Windows is only supported through WSL.

Networking with Legate Packages#

Building and Installing from Source#

Building Legate from source has multiple steps and can involve different dependencies, depending on your system configuration. For the most up to date instructions for the latest source code, see Building Legate from Source.

Support Matrix#

The following table lists Legate’s supported version range for major dependencies. The listed versions are being tested regularly, and supported by our downloadable packages.

Support Matrix#

Dependency

Versions supported

CPU architecture	x86-64 (Haswell and later) aarch64 (armv8-a and later)
OS	Ubuntu (22.04 and later) macOS (11 and later, ARM-based only) WSL
Compilers	GCC (10-14)
GPU architecture	Volta and later
CUDA toolkit	12.2 and later
Python	3.11 - 3.14
NumPy	1.22 and later

You may be able to build Legate from source and run under other configurations, but no guarantees are given that Legate will work properly in that case. We may not actively work to fix any incompatibilities discovered under unsupported configurations, but we accept contributions that fix such incompatibilities.

In particular, if you try to use Legate on Pascal (or earlier) GPUs, there could be issues due to lack of independent thread scheduling. Please report any such issues by opening a bug.

Installation of the Legate IPython Kernel#

Please install Legate, then run the following command to install a default Jupyter kernel:

$ legate-jupyter

If installation is successful, you will see some output like the following:

Jupyter kernel spec Legate_SM_GPU (Legate_SM_GPU) has been installed

Legate_SM_GPU is the default kernel name.

Licenses#

This project will download and install additional third-party open source software projects at install time. Review the license terms of these open source projects before use.

For license information regarding projects bundled directly, see Third-party notices.

Overview

Networking with Legate Wheels