Now developers can use Windows PC for all their local AI development needs with support for GPU-accelerated deep learning frameworks on WSL.
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NVIDIA has been working closely with Microsoft to deliver GPU acceleration and support for the entire NVIDIA AI software stack inside WSL. Over the past few years, Microsoft has been building a powerful capability to run Linux directly within the Windows OS, called Windows Subsystem for Linux (WSL).
“By working in concert with NVIDIA on hardware and software optimizations, we’re equipping developers with a transformative, high-performance, easy-to-deploy experience.” Develop Models With Windows Subsystem for LinuxĪI development has traditionally taken place on Linux, requiring developers to either dual-boot their systems or use multiple PCs to work in their AI development OS while still accessing the breadth and depth of the Windows ecosystem.
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“AI will be the single largest driver of innovation for Windows customers in the coming years,” said Pavan Davuluri, corporate vice president of Windows silicon and system integration at Microsoft. Today’s announcements, which include tools to develop AI on Windows PCs, frameworks to optimize and deploy AI, and driver performance and efficiency improvements, will empower developers to build the next generation of Windows apps with generative AI at their core. More than 400 Windows apps and games already employ AI technology, accelerated by dedicated processors on RTX GPUs called Tensor Cores. Generative AI - in the form of large language model (LLM) applications like ChatGPT, image generators such as Stable Diffusion and Adobe Firefly, and game rendering techniques like NVIDIA DLSS 3 Frame Generation - is rapidly ushering in a new era of computing for productivity, content creation, gaming and more.Īt the Microsoft Build developer conference, NVIDIA and Microsoft today showcased a suite of advancements in Windows 11 PCs and workstations with NVIDIA RTX GPUs to meet the demands of generative AI.
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