GeForce Users Stay Ahead of the Curve with AI Computing on Their PCs

Generative AI has become more accessible than ever, no longer limited to tech giants. Thanks to Geforce, this technology is now at the fingertips of everyday users. Gone are the days when AI was confined to massive data centers or exclusive researchers. With GeForce RTX, AI is now running directly on your PC, enhancing every aspect of your digital experience.

Gamers have already started reaping the benefits of AI in over 300 RTX games. The integration of AI and gaming was pioneered by nVidia with DLSS, a technique that uses AI to automatically generate pixels in video games, resulting in increased frame rates by up to 4x. The recent introduction of DLSS 3.5 has further enhanced the visual quality in some of the world’s top titles, setting a new standard for visually immersive gameplay.

But NVIDIA’s AI integration doesn’t stop at gaming. Content creators now have access to over 100 RTX creative and design apps that leverage AI to enhance video and photo editing, as well as asset generation. RTX is not just a platform for today; it is also the accelerator that will power the AI of tomorrow.

RTX and AI are revolutionizing the way creators work. With RTX acceleration, top creator applications, including popular photo editing, video editing, broadcast, and 3D apps, are significantly faster and more efficient. RTX GPUs boost AI image generation speeds by 4.5x compared to competing processors in tools like Stable Diffusion. Blender experiences a speed increase of 5.4x in 3D rendering, while DaVinci Resolve’s video editing tasks double in speed. Adobe Photoshop’s photo editing tasks become 3x as swift with the help of AI. NVIDIA provides various AI tools, apps, and software development kits designed specifically for creators.

AI is not limited to gaming and content creation; it extends its capabilities to all types of users. With Microsoft’s collaboration, over 100 million RTX-powered Windows 11 PCs and workstations are already AI-ready. The combination of the Windows platform and NVIDIA’s dynamic AI hardware and software stack powers hundreds of Windows apps and games.

RTX-accelerated AI has been adopted in more than 300 games, enhancing frame rates and visual fidelity for gamers. Creators benefit from more than 100 AI-enabled creative applications, including top apps for image generation, video editing, photo editing, and 3D. Video streamers can elevate their home video experience with RTX Video Super Resolution, which uses AI to increase resolution and improve video quality. Office workers and students can enhance their teleconferencing and remote learning experiences with NVIDIA Broadcast, which improves video and audio quality and adds unique effects for smoother virtual interactions. Developers can now do early AI development and training from the comfort of Windows, thanks to NVIDIA’s world-leading AI development platform and technology developed by Microsoft and NVIDIA called CUDA on Windows Subsystem for Linux.

Generative AI enables users to quickly generate new content based on various inputs, such as text, images, sounds, animation, 3D models, or other types of data. Large language models (LLMs) play a crucial role in many of these use cases. LLMs now run directly on PCs, enabling new end-user applications like automatically drafting documents and emails, summarizing web content, extracting insights from spreadsheet data, planning travel, and powering general-purpose AI assistants. RTX GPUs provide the powerful AI acceleration required for these demanding workloads.

The PC AI revolution is fueled by three pillars: lightning-fast graphics processing from GPUs, integral AI capabilities in GeForce, and the omnipresent cloud. NVIDIA GPUs have transformed cloud services, powering everything from voice recognition to autonomous factory operations. NVIDIA DGX AI supercomputers, equipped with GPUs, are running 24/7 at businesses worldwide to refine data and process AI. The cloud provides vast quantities of training data for advanced AI models running on these machines.

Running AI on desktops still holds significant advantages. GPU-equipped desktops offer availability even when offline, instantaneous results for applications that require it, efficient handling of large datasets, and privacy for sensitive data. RTX GPUs, based on the same architecture that powers NVIDIA’s cloud performance, combine the benefits of running AI locally with the performance and tools only NVIDIA can deliver. While NPUs are designed to offload light AI tasks, NVIDIA’s GPUs stand unparalleled for demanding AI models with raw performance ranging from a 20x-100x increase.

AI will continue to impact various aspects of our daily lives as research advances and user expectations evolve. NVIDIA is at the forefront of this transformative era, offering end-to-end optimized development solutions. Developers have access to tools that add more AI features to PCs, enhancing value for users, all powered by RTX. From gaming innovations like RTX Remix to the NVIDIA NeMo LLM language model for assisting coders, the AI landscape on the PC is rich and expanding. Whether it’s stunning new gaming content, AI

Background Information

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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

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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.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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Stable Diffusion: Stable Diffusion is a technology that is used to improve the performance of computer systems. It is a process of spreading out the load of a system across multiple processors or cores. This helps to reduce the amount of time it takes for a system to complete a task, as well as reduce the amount of energy used. Stable Diffusion is used in many areas of the computer industry, such as in cloud computing, distributed computing, and high-performance computing. It is also used in gaming, where it can help to reduce the amount of time it takes for a game to load. Stable Diffusion is also used in artificial intelligence, where it can help to improve the accuracy of machine learning algorithms.

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