NVIDIA and Microsoft have launched a joint effort to take advantage of the current growing interest in AI to enhance Windows 11 apps that use generative artificial intelligence (AI). At the Microsoft Build developer conference, the two companies announced several improvements for Windows 11 PCs and workstations powered by NVIDIA’s RTX GPUs that it claims will meet the needs of generative AI.
NVIDIA Partners With Microsoft Through Windows 11 To Accelerate AI Development
NVIDIA RTX GPUs feature “Tensor Cores” that help run AI-based software such as Adobe Firefly. Alliance advances such as frameworks for AI optimization and deployment, tools for building AI on Windows PCs, and enhancements to driver speed and efficiency will enable developers to create the next generation of AI-powered He will be able to create Windows programs.
AI will be the biggest driver of innovation for Windows customers in the years to come. By working with NVIDIA on hardware and software optimizations, we provide developers with an innovative, high-performance, and easy-to-deploy experience.
Pavan Davuluri, Corporate VP of Windows Silicon and Systems Integration at Microsoft
Microsoft and NVIDIA have also benefited from Windows’ ability to run Linux operating systems. In summary, Microsoft is working on a useful feature that allows users to run Linux within Windows itself. The company calls it the Windows Subsystem for Linux (WSL). NVIDIA claims it has strived to provide “GPU acceleration and support” for its complete AI software stack within WSL.
NVIDIA has made great strides in improving the performance of Tensor Cores, making them the best cores for AI inference. NVIDIA’s goal in driver development is to improve GPU efficiency using programs like Stable Diffusion.
Here’s what NVIDIA plans to offer consumers with efficient performance in AI-based applications:
On May 24th, we will release the latest optimizations for the release 532.03 driver that, combined with Olive-optimized models, significantly improve AI performance. Using Olive’s optimized version of his Stable Diffusion text-to-image generator and the popular Automatic1111 distribution, the new driver has more than doubled his performance.
With AI now being introduced into nearly every Windows application, it’s important to efficiently deliver inference performance, especially on laptops. NVIDIA will soon introduce new Max-Q low-power inference for AI-only workloads on RTX GPUs. It optimizes Tensor Core performance while keeping GPU power consumption as low as possible, extending battery life and keeping your system cool and quiet. GPUs can dynamically scale up to maximize AI performance when your workload demands it.
NVIDIA’s artificial intelligence technology is widely admired by the software industry, with companies such as Adobe, DxO, ON1, and Topaz citing NVIDIA’s contribution to delivering optimal user experiences.
With the current AI boom, companies are undoubtedly accelerating the development of AI-based applications. As a major catalyst for such applications, this has greatly boosted the success of companies like his NVIDIA, which are now making further investments (in the form of collaborations) to strengthen their position in the industry.
