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https://github.com/ibrar-syed/complete_deep-learning-nvidia_gpu-setup-linux

Full setup for a deep learning environment on Ubuntu Linux with CUDA, cuDNN, TensorRT, and TensorFlow GPU. Includes scripts, test code, and environment configuration
https://github.com/ibrar-syed/complete_deep-learning-nvidia_gpu-setup-linux

ai bash conda cuda cudnn deep-learning environment-setup gcc gpu jupyter linux machine-learning nvidia-cuda nvidia-gpu pytorch setup-script tensorflow tensorrt

Last synced: 2 months ago
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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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# 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.

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## 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

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## 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

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## Quick Start
# for information to setup it, you can contact me:
https://www.upwork.com/freelancers/~01d6e59659983b0c27?mp_source=share

### 1. Clone this repository
```bash
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.