NVIDIA Launches Project G-Assist Within Its App for Enhanced User Experience

Computex Taipei

Unveiling Project G-Assist at Computex 2024

At Computex 2024, we pulled back the curtain on something truly exciting: Project G-Assist. This tech demo offered a sneak peek into how AI assistants could transform the PC experience for gamers, creators, and everyday users alike. Today, we’re thrilled to announce the experimental release of the Project G-Assist System Assistant feature, available for Geforce RTX desktop users through the nVidia app. And don’t worry, GeForce RTX laptop support is on the way!

As our PCs get more powerful, they also become increasingly complex to navigate. Did you know that users face over a trillion possible combinations of settings when trying to optimize their PCs? That’s right—everything from the GPU and CPU to monitors and peripherals can be a maze. That’s where Project G-Assist comes in. It’s designed to simplify this chaos, acting as your personal AI assistant that runs locally on GeForce RTX AI PCs.

What Can G-Assist Do?

Project G-Assist is like having a tech-savvy friend at your fingertips. Whether you want to optimize game settings, track frame rates, or tweak peripheral lighting, you can do it all with simple voice or text commands. Imagine saying, “Hey G-Assist, what’s my GPU temperature?” and getting a quick response without having to dig through menus.

But that’s just the tip of the iceberg. G-Assist uses a specially tuned Small Language Model (SLM) to interpret your commands seamlessly. It taps into various NVIDIA and third-party APIs to execute actions on your PC. Need to diagnose a performance bottleneck? G-Assist can provide real-time recommendations to enhance power efficiency, optimize settings, and even overclock your GPU. It’s all about making your gaming and creative experiences smoother and more enjoyable.

The Power of On-Device AI

One of the coolest aspects of G-Assist is that it runs locally on your GeForce RTX GPU. Unlike those hefty cloud-based AI models that require constant internet access and often come with subscription fees, G-Assist is fast, free, and available offline. It utilizes a Llama-based Instruct model with 8 billion parameters, allowing it to pack serious language understanding into a compact package.

When you call on G-Assist by pressing Alt+G—whether to optimize graphics settings or check on your GPU’s health—your GPU dedicates a bit of its power to make it happen. Sure, you might notice a slight dip in performance for a moment, but once G-Assist wraps up its task, your GPU is back to delivering peak performance.

System Requirements for G-Assist

So, what do you need to get started with Project G-Assist? Here’s the lowdown:

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Operating System:

Windows 10 or 11
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GPU:

GeForce RTX 30, 40, or 50 Series Desktop GPUs with 12 GB VRAM or higher
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CPU:

Intel Pentium G Series, Core i3, i5, i7, or higher; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or higher
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Disk Space Required:

System Assistant: 6.5 GB; Voice Commands: 3 GB
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Driver:

GeForce 572.83 or later
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Language:

English

Currently, G-Assist is available for desktop GPUs, with laptop support on the horizon. You can check out the full list of system requirements, including those for partner peripherals, on our website.

Empowering Developers and the Community

G-Assist isn’t just a standalone feature; it’s built on NVIDIA ACE, the same AI technology that game developers use to create lifelike NPCs. This means that OEMs and independent software vendors (ISVs) are already leveraging this tech to craft custom AI assistants similar to G-Assist. For example, MSI has introduced the “AI Robot” engine for their software, and Logitech is developing the Streamlabs Intelligent AI Assistant, which interacts with streamers in real-time.

But it doesn’t stop there! AI developers and enthusiasts can also extend G-Assist’s capabilities. We’ve set up a GitHub repository filled with samples and instructions for creating plugins that can add new functionalities. Imagine being able to control Spotify hands-free or tapping into Google Gemini for more complex queries—all thanks to community-driven innovation.

Get Started with Project G-Assist

Ready to dive into the world of Project G-Assist? You can download it through the NVIDIA app’s Home tab in the Discovery section. G-Assist currently supports GeForce RTX desktop GPUs and English language commands. Just press Alt+G after installation to activate it and start exploring!

Your feedback is crucial as we continue to refine G-Assist. This is just the beginning, and we’re eager to hear what you think. Click the “Send Feedback” exclamation icon in the NVIDIA app to share your thoughts and help shape the future of G-Assist. Together, we can unlock the full potential of this exciting technology!

Background Information

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About AMD:

AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

  

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About Google:

Google, founded by Larry Page and Sergey Brin in 1998, is a multinational technology company known for its internet-related services and products. Initially for its search engine, Google has since expanded into various domains including online advertising, cloud computing, software development, and hardware devices. With its innovative approach, Google has introduced influential products such as Google Search, Android OS, Google Maps, and Google Drive. The company's commitment to research and development has led to advancements in artificial intelligence and machine learning.

  

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About Intel:

Intel Corporation, a global technology leader, is for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

  

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About Logitech:

Logitech is a globally recognized multinational technology company founded in 1981. Known for its diverse portfolio of computer peripherals and consumer electronics, Logitech produces a wide range of products, including computer mice, keyboards, webcams, and audio devices. With a strong emphasis on quality, innovation, and user-friendly designs, Logitech has become a trusted brand in the industry, serving both consumers and businesses worldwide.

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About MSI:

MSI (Micro-Star International) is a globally recognized company that specializes in the development and manufacturing of a wide range of computer products. With a rich history dating back to its establishment in 1986, MSI has emerged as a key player in the technology industry, consistently delivering innovative solutions that cater to the needs of both casual users and hardcore enthusiasts. The company's product portfolio encompasses a diverse array of products, including motherboards, graphics cards, laptops, desktops, monitors, and various gaming peripherals. MSI's commitment to quality and performance is evident in its dedication to technologies, sleek designs, and rigorous testing standards. for its gaming-focused products under the MSI Gaming brand, the company has earned a reputation for delivering high-performance components that enhance the gaming experience.

  

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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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Event Info

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About Computex:

Computex, held annually in Taipei, Taiwan, stands as one of the world's leading technology trade shows, showcasing cutting-edge innovations in computing hardware, software, and emerging technologies. With a focus on industry trends and product launches, it serves as a pivotal platform for tech giants and startups alike to unveil their latest advancements and forge key partnerships, attracting a global audience of industry professionals, enthusiasts, and media representatives.

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Technology Explained

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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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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VRAM: VRAM (Video Random Access Memory) is a type of computer memory used in graphics cards to store image data. It is a high-speed memory that is used to store the image data that is sent to the monitor. It is used in the computer industry to improve the performance of graphics cards and to provide faster access to the image data. VRAM is also used in gaming consoles to provide a more immersive gaming experience. It is also used in virtual reality applications to provide a more realistic experience. VRAM is an important component of the computer industry and is used in many applications.

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