https://github.com/dreoporto/tensorflow-gpu-docker

An example project to run TensorFlow with CUDA-enabled GPU acceleration using Windows, Docker and WSL2.
https://github.com/dreoporto/tensorflow-gpu-docker

artificial-intelligence cuda deep-learning docker docker-compose jupyter machine-learning nvidia-docker python windows wsl2

Last synced: 5 months ago
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An example project to run TensorFlow with CUDA-enabled GPU acceleration using Windows, Docker and WSL2.

• Host: GitHub
• URL: https://github.com/dreoporto/tensorflow-gpu-docker
• Owner: dreoporto
• License: mit
• Created: 2023-11-21T12:32:15.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-26T16:58:17.000Z (over 1 year ago)
• Last Synced: 2024-12-26T17:35:47.675Z (over 1 year ago)
• Topics: artificial-intelligence, cuda, deep-learning, docker, docker-compose, jupyter, machine-learning, nvidia-docker, python, windows, wsl2
• Language: Jupyter Notebook
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# TensorFlow with GPU acceleration using Windows, Docker and WSL2

An example project to run TensorFlow with CUDA-enabled GPU acceleration using Windows, Docker and WSL2.

### See the Pendragon AI site for more details:

[Setup TensorFlow with GPU acceleration using Windows, Docker and WSL2](https://www.pendragonai.com/setup-tensorflow-gpu-windows-docker-wsl2/)