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Explore the CUBA on WSL User Guide for setup instructions, troubleshooting tips, and the latest features, ensuring optimized performance on Windows in 2021.
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CUDA on WSL (Windows Subsystem for Linux) allows users to run GPU-accelerated applications within a Linux environment on a Windows system using NVIDIA's CUDA toolkit.
Users who intend to utilize CUDA functionalities in their development environments on WSL are required to ensure proper installation and configuration of CUDA.
To set up CUDA on WSL, users must follow installation instructions specific to their Linux distribution, including installing the CUDA toolkit and drivers via package management tools or NVIDIA's installer.
The purpose of CUDA on WSL is to enable developers to leverage the computational power of NVIDIA GPUs for acceleration of machine learning, data processing, and other GPU-intensive tasks directly on Windows.
Users typically need to report their installed CUDA version, the WSL distribution in use, NVIDIA driver version, and whether any application utilizing CUDA has been successfully executed.
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