All Intel Distribution for Python components are available for on/offline installation using a stand-alone conda*-based installer. Choose this option if your target installation environments are behind a firewall, you need to manage versions, or for other purposes.
To customize your selections, choose a package manager for installation.
Make sure your system meets the System Requirements.
1. Get and update Conda.
conda update conda
2. For GPU users, install a GPU driver.
1. If you do not have pip, use the following instructions to install it. After installation, make sure that you can run pip from the command line. Installation Instructions
2. Create and activate a virtual environment:
Python 3.11 Instructions
python3.11 -m venv idp
source idp/scripts/activate
Python 3.12 Instructions
python3.12 -m venv idp
source idp/script/activate
To install Python and define your environment, see Set Up System Before Installation: pip.
3. GPU users, install a GPU driver if needed.
For Linux: Set up your system for GPU development as described in Data Center GPU Series Driver Installation or Client GPU Driver Installation.
For Windows: Download GPU drivers from Intel® Arc™ & Iris® Xe Graphics - Windows*.
Before running the containers, install the Docker engine as described in the Docker Installation Instructions.
1. Get and update Mamba.
conda update mamba
2. For GPU users, installl a GPU Driver.
For Linux, set up your system for GPU development as described in Intel® Data Center GPU Series Driver Installation or Client GPU Driver Installation
conda create -n idp intelpython3_full python=3.11 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
conda create -n idp intelpython3_full python=3.12 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
Select a small bundle from the list (left) to generate the required install code string.
After running the installation command, activate the conda environment by entering the following command:
conda activate idp
Verify your installation success by running conda list command.
1. To install Intel-distributions of components, enter the following command:
pip install -i https://software.repos.intel.com/python/pypi numpy scipy scikit-learn-intelex dpnp dpctl tbb4py
2. To install these specific components directly from pip, enter the following command:
pip install smp cython numba
To retrieve the pip command strings, select a radio button next to a group of components. The commands are compatible with Python 3.11 and 3.12.
pip install -i https://software.repos.intel.com/python/pypi numpy scipy
pip install -i https://software.repos.intel.com/python/pypi scikit-learn-intelex
pip install -i https://software.repos.intel.com/python/pypi dpctl dpnp
pip install -i https://software.repos.intel.com/python/pypi tbb4py
pip install smp
pip install cython numba
To verify if your installation was a success, enter the following command: pip list.
mamba create -n idp intelpython3_full python=3.11 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
mamba create -n idp intelpython3_full python=3.12 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
After running the installation command, activate the mamba environment by entering the following command:
mamba activate idp
Verify your installation success by running the mamba list command.
Select a small bundle from the list (left) to generate the required installation code string.
Verify the installation success by running some tests in the container as described in Intel® Distribution for Python* container README.
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These instructions apply to Linux online and offline installations.
For Online Installation
For Offline Installation
Example
1. Download intelpython3-2025.0.0_0-Linux-x86_64.sh to:
bash /home/user/downloads
2. Create an installation folder. For example, /home/user/python2025
3. To install the package into the installation folder, enter the following command:
bash ./intelpython3-2025.0.0_0-Linux-x86_64.sh -b -p /home/user/python2025
4. (Optional) For offline, no-internet connectivity installations, move the folder you just created to the target machines.
In this example, the installation folder /python2025 is completely redistributable
1. Activate the conda environment using the following command:
source $HOME/intelpython3/bin/activate
2. For GPU users, set up your system for GPU development as described in Intel® Data Center GPU Series Driver Installation or Client GPU Driver Installation
3. Verify your installation success by running the conda list command.
Conda-based Installer Instructions
These instructions present a general overview of the process, followed by a specific example. The instructions apply to Windows*.
General process for Online Installation
General process for Offline Installation
Example
1. Download intelpython3-2025.0.0_0-Windows-x86_64.exe to:
bash C:\Users\user\Downloads
2. Create a new folder named:
bash C:\Users\user\python2025
3. Run installer file using the command:
bash start /wait file-name.exe /S /RegisterPython=0 /D= C:\Users\user\python2025
4. (Optional) For offline, no-internet connectivity installations, move the folder you just created to the target machines.
In this example, the installation folder \python2025\ is completely redistributable.
For more information, see the Get Started Guide.
1. Activate the conda environment on a Windows system by navigating to the same folder where you installed the files and then opening the \Scripts\ folder and then running .activate command in the terminal.
Example command:
C:\Users\user\python2025\Scripts\.activate
2. GPU users: Set up your system for GPU development Use Intel® Arc™ & Iris® Xe Graphics - Windows*.
Verify your installation success by running conda list command.
For documentation and resources to get started, see Intel® Distribution for Python*.
Docker License Information
By accessing, downloading, or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third-party software included with the Software Package. Preset containers are published under Apache License 2.0.
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