FahimFBA/CUDA-WSL2-Ubuntu
Install CUDA on Windows11 using WSL2
This guide helps machine learning engineers and data scientists set up their Windows 11 computers to run GPU-accelerated machine learning and deep learning workloads. It provides step-by-step instructions to configure Windows Subsystem for Linux (WSL2) and install NVIDIA CUDA, allowing users to leverage their Nvidia graphics cards for computationally intensive tasks. The guide transforms a standard Windows machine into a powerful workstation for AI development.
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Use this if you are a machine learning engineer or data scientist who needs to run GPU-accelerated AI models and deep learning frameworks directly on your Windows 11 machine using an Nvidia graphics card.
Not ideal if you primarily work with CPU-only models, use a Mac or Linux as your primary operating system, or do not have an Nvidia graphics card.
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Aug 02, 2023
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