NVIDIA RTX AI PCs Unleash Unprecedented Performance Boost for Gamers, Creators, and Developers

NVIDIA and Microsoft have announced new AI performance optimizations and integrations for Windows, including faster language models and enhanced capabilities for web developers, to deliver maximum performance on RTX AI PCs and workstations.

NVIDIA and Microsoft collaboration to scale performance on RTX GPUs
Enhanced AI capabilities for gamers, creators, and developers on RTX AI PCs
Improved accessibility and performance of AI applications on Windows through optimized LLMs and WebNN integration

nVidia has announced new AI performance optimizations and integrations for Windows, aimed at delivering maximum performance on NVIDIA Geforce RTX AI PCs and workstations. These optimizations include faster language models (LLMs) with up to 3x speed improvement using ONNX Runtime (ORT) and DirectML. ORT and DirectML are high-performance tools used to run AI models locally on Windows PCs.

One notable integration is the acceleration of WebNN, an API for web developers to deploy AI models, using RTX via DirectML. This enables web apps to incorporate fast, AI-powered capabilities. Additionally, PyTorch will support DirectML execution backends, allowing Windows developers to train and infer complex AI models natively.

NVIDIA and Microsoft are working together to scale performance on RTX GPUs. These advancements build upon NVIDIA’s leading AI platform, which accelerates over 500 applications and games on more than 100 million RTX AI PCs and workstations worldwide.

The announcement also highlights the enhanced AI capabilities for gamers, creators, and developers on RTX AI PCs. NVIDIA DLSS boosts frame rates by up to 4x for gamers, while NVIDIA ACE brings AI-driven dialogue, animation, and speech to game characters. Content creators can leverage RTX’s AI-assisted production workflows in popular apps like Adobe Premiere, Blackmagic Design DaVinci Resolve, and Blender. Game modders can use NVIDIA RTX Remix to create AI-accelerated remasters of classic PC games, while livestreamers can take advantage of NVIDIA Broadcast for high-quality AI-powered background subtraction and noise removal.

For developers, RTX AI PCs allow building and fine-tuning AI models directly on their devices using NVIDIA’s AI developer tools, including NVIDIA AI Workbench, cuDNN, and CUDA on Windows Subsystem for Linux. Developers also have access to RTX-accelerated AI frameworks and software development kits like TensorRT, Maxine, and RTX Video.

The announcement also highlights the faster LLMs and new capabilities for web developers. The generative AI extension for ORT now supports optimization techniques like quantization for LLMs, and NVIDIA optimizations in R555 Game Ready, Studio, and NVIDIA RTX Enterprise Drivers provide up to 3x faster performance on RTX compared to previous drivers. WebNN has also been optimized to deliver the powerful performance of RTX GPUs directly within browsers, making AI applications more accessible across platforms.

Overall, these advancements in AI performance optimizations and integrations aim to deliver enhanced experiences for gamers, creators, and developers, while also improving the accessibility and performance of AI applications on Windows.

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Background Information

About Adobe:

Adobe is a software company for its creative software suites, including Photoshop, Illustrator, and Adobe Acrobat. They are widely used by professionals in the design, photography, and publishing industries, and their software plays a crucial role in digital content creation and management.

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About Microsoft:

Microsoft, founded by Bill Gates and Paul Allen in 1975 in Redmond, Washington, USA, is a technology giant known for its wide range of software products, including the Windows operating system, Office productivity suite, and cloud services like Azure. Microsoft also manufactures hardware, such as the Surface line of laptops and tablets, Xbox gaming consoles, and accessories.

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

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Technology Explained

DLSS: DLSS (Deep Learning Super Sampling) is an advanced AI-powered technology developed by NVIDIA that enhances real-time graphics rendering in video games and applications. DLSS utilizes deep learning algorithms to upscale lower-resolution images in real-time, resulting in higher-quality visuals while maintaining optimal performance. By harnessing the power of AI and deep neural networks, DLSS effectively boosts frame rates and image quality, enabling gamers to experience smoother gameplay and more immersive graphics without sacrificing computational efficiency. This technology has gained widespread recognition for its ability to deliver impressive visual fidelity and improved performance simultaneously, revolutionizing the way modern computer graphics are processed and displayed.

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Geforce: Geforce is a line of graphics processing units (GPUs) developed by Nvidia. It is the most popular GPU used in the computer industry today. Geforce GPUs are used in gaming PCs, workstations, and high-end laptops. They are also used in virtual reality systems, artificial intelligence, and deep learning applications. Geforce GPUs are designed to deliver high performance and power efficiency, making them ideal for gaming and other demanding applications. They are also capable of rendering high-resolution graphics and providing smooth, realistic visuals. Geforce GPUs are used in a variety of applications, from gaming to professional workstations, and are the preferred choice for many computer users.