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

Computex Taipei

Introducing Project G-Assist

At Computex 2024, we pulled back the curtain on something exciting: Project G-Assist. This tech demo offered a sneak peek into a future where AI assistants could transform the PC experience for gamers, creators, and beyond. Today, we’re thrilled to announce that an experimental version of the Project G-Assist System Assistant feature is now available for Geforce RTX desktop users through the nVidia app. And yes, we’ve got plans for GeForce RTX laptop support in an upcoming update!

As PCs become more powerful, they also get more complex. Can you believe that users today are faced with over a trillion possible combinations of hardware and software settings when trying to optimize their systems? From your GPU and CPU to your motherboard, monitors, and peripherals, it can feel overwhelming. That’s where Project G-Assist comes in. Think of it as your personal AI buddy that runs locally on your GeForce RTX AI PC, ready to simplify your tech life.

What Can G-Assist Do for You?

So, what exactly can Project G-Assist do? Well, it’s designed to help you manage a wide range of PC settings. This includes optimizing game and system settings, tracking frame rates, and even adjusting lighting on select peripherals—all with just a few simple voice or text commands. Imagine being able to say, “Hey, G-Assist, how’s my GPU doing?” and getting real-time diagnostics and recommendations to enhance your gaming experience.

G-Assist is powered by a specially tuned Small Language Model (SLM) that’s adept at understanding natural language. It can pull from a variety of NVIDIA and third-party PC APIs to execute actions on your machine. Whether it’s alleviating system bottlenecks, improving power efficiency, or even overclocking your GPU, G-Assist has got you covered. Plus, it can chart and export various performance metrics like FPS, Latency, and temperatures.

On-Device AI: Fast and Free

One of the coolest things about G-Assist? Unlike those massive cloud-hosted AI models that require constant internet access and hefty subscriptions, G-Assist runs right on your GeForce RTX GPU. This means it’s quick, free, and can even work offline.

Under the hood, G-Assist employs a Llama-based Instruct model with 8 billion parameters, allowing it to pack a powerful punch without taking up too much space. It’s fascinating how quickly these compact models are evolving; every few months, they seem to get more capable and efficient!

When you need assistance—say, to optimize your graphics settings or check GPU temperatures—just hit Alt+G. Your GeForce RTX GPU will allocate a bit of its power to help out. Just a heads up: if you’re gaming or running another GPU-intensive application at the same time, you might notice a tiny dip in performance for a few seconds. But don’t worry, once G-Assist is done, your GPU will be back to full throttle.

Requirements for Project G-Assist

Curious if your setup can handle G-Assist? Here’s what you need:

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Operating System

: Windows 10 or Windows 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

For now, G-Assist is launching with support for desktop GPUs, but laptop support is on the horizon. You can find a full list of system requirements, including those for partner peripherals, right here.

Empowering Developers and the Community

G-Assist isn’t just for end-users; it’s built with NVIDIA ACE—the same AI tech suite that game developers use to create lifelike NPCs. OEMs and ISVs are already tapping into this technology to craft custom AI assistants, like MSI’s “AI Robot” engine, which powers features in MSI Center and MSI Afterburner.

Logitech is also on board, developing the Streamlabs Intelligent AI Assistant that interacts with streamers and comments on gameplay. And HP is working on AI assistant capabilities for the Omen Gaming Hub.

But it gets even better! AI developers and enthusiasts can extend G-Assist’s capabilities. NVIDIA has set up a GitHub repository where you can find samples and instructions for creating plugins that add new functions. Imagine being able to define functions in simple JSON formats and drop them into a designated directory for G-Assist to load automatically.

Current sample plugins include Spotify for hands-free music control and Google Gemini for more complex conversations and web searches. You can even use a ChatGPT-based “Plugin Builder” to create your own G-Assist plugins effortlessly.

Get Started with Project G-Assist

Ready to dive in? You can download Project G-Assist through the NVIDIA app’s Home tab in the Discovery section. Right now, it supports GeForce RTX desktop GPUs and English language commands. And don’t forget to hit Alt+G after installation to activate G-Assist!

Your feedback is crucial as we continue to refine this experimental feature. If you want to help shape the future of G-Assist, just click the “Send Feedback” exclamation icon in the NVIDIA app and select “Project G-Assist.” Your insights will guide us in determining what improvements and features to pursue next.

We can’t wait to see what you think of G-Assist and how you’ll use it to enhance your gaming and creative experiences. Happy gaming!

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 HP:

Founded by Bill Hewlett and Dave Packard in a garage in 1939, HP (Hewlett-Packard) is a global technology giant known for its pioneering innovations in computing and printing technology. With a legacy of over eight decades, HP has consistently delivered a wide range of high-quality products and services, including personal computers, printers, servers, and software solutions.

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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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Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.

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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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