NVIDIA’s G-Assist AI Launches in February for GeForce RTX Users

Computex Taipei

NVIDIA’s G-Assist: A Game Changer for Your PC Experience

Six months ago at Computex, nVidia gave us a sneak peek at something exciting: Project G-Assist. This tech demo hinted at a future where AI assistants could transform the way gamers, creators, and everyday users interact with their PCs. Fast forward to now, and we’re thrilled to share that the first version of the G-Assist System Assistant feature is set to roll out for Geforce RTX users through the NVIDIA app in February. But what exactly does this mean for you?

As our PCs get more powerful, they also become increasingly complex. Did you know that there are over a trillion possible combinations of hardware and software settings to optimize your setup? That’s a lot to navigate! NVIDIA recognized this challenge and created Project G-Assist, an innovative AI assistant designed to simplify your PC experience. Imagine being able to tweak your system settings, optimize your games, and even control your peripherals—all with just a few voice or text commands. Sounds pretty convenient, right?

Meet the G-Assist System Assistant

So, what’s the magic behind G-Assist? It employs a specially tuned Small Language Model (SLM) that understands natural language instructions. This means you can chat with your PC just like you would with a friend. Whether you want to optimize your game settings, check your frame rates, or even adjust the lighting on your gaming peripherals, G-Assist has you covered.

But it doesn’t stop there. G-Assist is equipped to provide real-time diagnostics and recommendations to help you tackle any system bottlenecks. It can enhance power efficiency, optimize game settings, and even overclock your GPU. Curious about your PC’s performance? G-Assist can chart and export a variety of metrics, including FPS, Latency, and GPU temperatures. Plus, it can answer your questions about your setup or NVIDIA software, making it a handy companion for any PC user.

All About On-Device AI

One of the standout features of G-Assist is that it runs locally on your GeForce RTX GPU. Unlike those massive cloud-based AI models that require a constant internet connection and often come with a hefty price tag, G-Assist is responsive, free, and can work offline. It utilizes a Llama-based Instruct model with 3 billion parameters, which allows it to deliver impressive language understanding while being compact enough to run efficiently on various RTX hardware.

When you ask G-Assist for help—say, to check your GPU temperatures or optimize graphics settings—it briefly taps into a bit of your GPU’s power. You might notice a slight dip in performance during that moment, especially if you’re gaming, but don’t worry! Once G-Assist completes its task, your GPU will return to full throttle.

Empowering Partners and Tinkerers

NVIDIA didn’t stop at just creating G-Assist for its users. They’re also sharing the underlying technology with partners and the broader community. Built on the NVIDIA ACE framework, G-Assist is already inspiring OEMs and ISVs to develop their own AI assistants. For instance, MSI is working on an “AI Robot” engine for its MSI Center, while Logitech is developing a Streamlabs Intelligent AI Assistant that interacts with streamers in real-time. HP is also getting in on the action with plans for AI assistant capabilities in its Omen Gaming Hub.

But it gets even better! NVIDIA is opening up the framework to the AI community. Tools like CrewAI and LangFlow will allow developers and enthusiasts to create customizable workflows and applications. Plus, G-Assist itself is designed to be extensible. NVIDIA plans to launch a GitHub repository where users can create plugins that enhance G-Assist’s functionality. How cool is that? You’ll be able to define functions in a simple JSON format and submit them for review, making it easy for the community to contribute new features.

Get Ready for G-Assist This February

Back in 2013, NVIDIA launched GeForce Experience, introducing Optimal Playable Settings that allowed gamers to configure their games with a single click. Fast forward to today, and AI has opened up new possibilities for interacting with and optimizing your RTX AI PCs. When G-Assist launches in February, you’ll find it on the NVIDIA app’s Home tab, ready for GeForce RTX owners to download and install.

So, are you ready to take your PC experience to the next level? With G-Assist, the future of gaming and creative computing just got a whole lot more exciting!

Background Information

---

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.

Latest Articles about HP

---

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.

Latest Articles about Logitech

---

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.

  

Latest Articles about MSI

---

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.

  

Latest Articles about nVidia

Event Info

---

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.

Latest Articles about Computex

Technology Explained

---

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.

Latest Articles about Geforce

---

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.

Latest Articles about GPU

---

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.

Latest Articles about Latency