How can we help?
< All Topics

Setting Up an AI Development Environment with PyTorch and TensorFlow


PyTorch and TensorFlow are two of the most popular frameworks for artificial intelligence and machine learning. Deploying these on ServerStadium’s infrastructure (VM Pricing, Dedicated Servers) provides a robust platform for AI development, suitable for both research and production needs.


  • A ServerStadium VM or dedicated server (VM Pricing, Dedicated Servers).
  • Basic knowledge of Python and machine learning concepts.
  • Access to the server with sufficient permissions.

Step 1: Select and Prepare Your ServerStadium Server

  1. Choose a Server: Pick a ServerStadium server that meets the hardware requirements of your AI projects, particularly in terms of CPU, GPU (if doing deep learning), and RAM.
  2. Server Setup:

    sudo apt update
    sudo apt upgrade

Step 2: Install Python and Pip

  1. Install Python:

    sudo apt install python3 python3-pip

  2. Upgrade Pip (Optional but Recommended):

    pip3 install –upgrade pip

Step 3: Install TensorFlow

  1. Install TensorFlow:

    You can install TensorFlow with or without GPU support. For the CPU-only version:

    pip3 install tensorflow

    For GPU support (ensure you have the necessary NVIDIA drivers and CUDA toolkit installed):

    pip3 install tensorflow-gpu

Step 4: Install PyTorch

  1. Install PyTorch:

    The installation command for PyTorch varies depending on your system configuration and whether you want GPU support. Visit the PyTorch Get Started page to generate the appropriate installation command.

    For a typical installation:

    pip3 install torch torchvision

Step 5: Verify Installation

  1. Test TensorFlow Installation:

    Run Python and import TensorFlow to verify:

    python3 -c "import tensorflow as tf; print(tf.<strong>version</strong>)"

  2. Test PyTorch Installation:

    Similarly, test PyTorch:

    python3 -c "import torch; print(torch.<strong>version</strong>)"


Your AI development environment with PyTorch and TensorFlow is now set up on your ServerStadium server. This setup provides a powerful foundation for developing and deploying AI and machine learning models. For additional support, visit our knowledge base or contact our support team.

Table of Contents