NVIDIA CUDA on WSL goes to public preview
Microsoft announced that it teamed up with NVIDIA to deliver a tool that facilitates GPU accelerated ML training within the Windows Subsystem for Linux. Windows 10 insiders in the Dev Channel and members of the NVDIA Developer Program can access the feature. The deployment of NVDIA CUDA on WSL 2 should spark interest among Windows 10 users in the field of artificial intelligence. It enables data scientists to leverage GPU-accelerated deep learning (DL) on Microsoft Windows platforms. NVIDIA developed CUDA to power parallel computing on devices that utilize the company’s graphics processing units. The technology enables developers to accelerate compute-intensive applications, such as ML training, by leveraging the power of GPUs, in addition. So, with CUDA on WSL, your compute applications can get the most out of NVIDIA graphics cards and PCs powered by GPUs. Besides CUDA programming support, you can now work with TensorFlow, MXNet, PyTorch, and other DL frameworks within WSL 2. Open source software libraries like RAPIDS are also available to you. With GPU compute support coming to WSL 2, data scientists should be getting ML training results much faster going forward. Are you an AI enthusiast or professional eager to explore NVIDIA CUDA on WSL 2? You can share your thoughts or expectations via the comments section below.
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