1. Get and update Conda.

• To install conda, use the conda Installation Guide.
• If you have conda installed, update it using the following command (This works for both Windows and Linux installations):

conda update conda

2. For GPU users, install a GPU driver.

• 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*.

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:

python3.11 -m venv idp
source idp/bin/activate

3. GPU Users: Install a GPU Driver.

• For Linux, set up your system for GPU development as described in Data Center GPU Series Driver Installation or Client GPU Driver Installation.

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:

python3.11 -m venv idp
idp\Scripts\activate

3. GPU Users: Install a GPU Driver.

• For Windows, download GPU drivers from Intel® Arc™ & Iris® Xe Graphics - Windows*

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:

python3.12 -m venv idp
source idp/bin/activate

3. GPU Users: Install a GPU Driver.

• For Linux, set up your system for GPU development as described in Data Center GPU Series Driver Installation or Client GPU Driver Installation.

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:

python3.12 -m venv idp
idp\Scripts\activate

3. GPU Users: Install a GPU Driver.

• 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.

• To install and get Mamba, use the conda Installation Guide and then use the Miniforge installation instruction.
• If you already have Mamba installed, update it using the following command (This works for both Linux and Windows installations):

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

• For Windows, download GPU drivers from Intel® Arc™ & Iris® Xe Graphics - Windows*

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.

To verify if your installation was a success, enter the following command: pip list.

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.

Verify the installation success by running some tests in the container as described in Intel® Distribution for Python* container README.

These instructions apply to Linux online and offline installations.

For Online Installation

1. Download the installer file.
2. Create an installation folder (use any name).
3. Using a console, run the installer, and then in the installation path, specify the newly-created folder.

For Offline Installation

1. Download the installer file.
2. Create an installation folder (use any name).
3. Using a console, run the installer, and then in the installation path, specify the newly-created folder.
4. Transfer the new folder to the machine that has no internet connection. The installation folder and contents are completely redistributable.

Example (your file name and installation folder name may be different):

1. Download intelpython3-<package-name-number-goes-here>-Linux-x86_64.sh 

to:

bash /home/user/downloads

2. Create an installation folder. Your folder can be any name you wish. For example, /home/user/python2025.

3. To install the package into the installation folder you created, enter the following command (replace the bracketed placeholder with the real package name-number and the folder name that you created):

bash ./intelpython3-[package-name-number-goes-here]-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/[folder-name-you-created]/bin/activate For example, 

source $HOME/python2025/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.