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Full setup for a deep learning environment on Ubuntu Linux with CUDA, cuDNN, TensorRT, and TensorFlow GPU. Includes scripts, test code, and environment configuration

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ibrar-syed/complete_deep-learning-nvidia_gpu-setup-linux

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Deep Learning GPU Setup on Linux

This repository provides complete setup guide and automation script to install full deep learning environment on Ubuntu Linux with support for CUDA, cuDNN, TensorRT, and TensorFlow (GPU enabled). It includes setup scripts, environment definitions, and test files.


What's Included

  • CUDA Toolkit 12.1 installation and configuration
  • cuDNN setup with verification script
  • TensorRT installation with Python bindings
  • Python 3.9 environment (via Miniconda)
  • TensorFlow (GPU-accelerated) installation
  • JupyterLab setup for development
  • Conda environment file and pip-based requirements
  • Social preview image and documentation

Basic Requirements for Setup

  • Ubuntu 20.04 or 22.04
  • NVIDIA GPU with driver support for CUDA 12.1
  • sudo access to install system dependencies

Quick Start

for information to setup it, you can contact me:

https://www.upwork.com/freelancers/~01d6e59659983b0c27?mp_source=share

1. Clone this repository

git clone https://github.com/yourusername/deep-learning-gpu-setup-linux.git
cd deep-learning-gpu-setup-linux

## License
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

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Full setup for a deep learning environment on Ubuntu Linux with CUDA, cuDNN, TensorRT, and TensorFlow GPU. Includes scripts, test code, and environment configuration

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