Anaconda

Anaconda Distribution is a popular open-source Python distribution. It includes access to a repository with over 8,000 open-source data science and machine learning packages.

You can use the conda command to quickly install and use Python packages.

In this guide, you’ll learn how to install and use Anaconda Distribution on an Arm server.

Before you begin

Confirm you are using an Arm machine by running:

    

        
        
uname -m

    

The output is similar to:

    

        
        aarch64

        
    

If you see a different result, you are not using an Arm computer running 64-bit Linux.

The installer requires some desktop related libraries. You can meet the dependencies by installing a desktop environment by running the commands for your Linux distribution.

    

        
        

sudo apt update
sudo apt install xfce4 -y
  

    

    

        
        

sudo amazon-linux-extras install mate-desktop1.x
  

    

Download the latest Anaconda Distribution

To download Anaconda Distribution, run:

    

        
        
curl -O https://repo.anaconda.com/archive/Anaconda3-2026.07-1-Linux-aarch64.sh

    

Depending on the version, the downloaded filename will be of the form Anaconda3-20XX.YY-Linux-aarch64.sh where the XX and YY values represent the year and month of the latest release.

Install the Anaconda Distribution

Run the downloaded install script.

The default installation directory is $HOME/anaconda3. Change the installation directory as needed using the -p option to the install script.

To review the license terms before accepting, remove -b.

    

        
        
sh ./Anaconda3-2026.07-1-Linux-aarch64.sh -b

    

The install takes a couple of minutes to complete.

The batch installation won’t set up the shell. To set up the shell, run:

    

        
        
eval "$($HOME/anaconda3/bin/conda shell.bash hook)"

    

Accept the Anaconda Terms of Service

Before you can install packages from the default Anaconda channels, accept the Terms of Service:

    

        
        
$HOME/anaconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main
$HOME/anaconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r

    

Get started with Anaconda

Test Anaconda Distribution by running the following TensorFlow and PyTorch examples.

Use TensorFlow with Anaconda

Create a new conda environment named tf and install TensorFlow:

    

        
        
conda create -n tf tensorflow -y

    

Activate the new environment:

    

        
        
conda activate tf

    

The shell prompt will now show the tf environment.

    

        
        (tf) ubuntu@ip-10-0-0-251:~$

        
    

Run a simple check to make sure TensorFlow is working.

Using a text editor, copy and paste the code below into a text file named tf.py:

    

        
        
import tensorflow as tf
print(tf.__version__)
print(tf.reduce_sum(tf.random.normal([1000,1000])))
exit()

    

Run the example code:

    

        
        
python ./tf.py

    

The output is similar to:

    

        
        2.12.0
tf.Tensor(342.34387, shape=(), dtype=float32)

        
    

Use PyTorch with Anaconda

Create a new conda environment named torch and install PyTorch:

    

        
        
conda create -n torch pytorch -y

    

Activate the new environment:

    

        
        
conda activate torch

    

Using a text editor, copy and paste the following code into a text file named pytorch.py:

    

        
        
import torch
print(torch.__version__)
x = torch.rand(5,3)
print(x)
exit()

    

Run the example code:

    

        
        
python ./pytorch.py

    

The output is similar to:

    

        
        2.12.0
tensor([[0.9287, 0.5931, 0.0239],
        [0.3402, 0.9447, 0.8897],
        [0.3161, 0.3749, 0.6848],
        [0.8091, 0.6998, 0.7517],
        [0.2873, 0.0549, 0.2914]])

        
    

You are ready to use Anaconda Distribution.