NVIDIA Expands Project G-Assist Accessibility and Enhances RTX Features

New Lightweight AI Model for Project G-Assist Brings Support for 6GB NVIDIA GeForce RTX and RTX PRO GPUs

Updates announced at Gamescom -- including new G-Assist capabilities and plug-in hub, and a particle system for NVIDIA RTX Remix -- bring generative AI tools to more RTX users. At Gamescom, NVIDIA is releasing its first major update to Project G‑Assist -- an experimental on-device AI assistant that allows users to tune their NVIDIA RTX systems with voice and text commands. The update brings a new AI model that uses 40% less VRAM, improves tool-calling intelligence and extends G-Assist support to all RTX GPUs with 6GB or more VRAM, including laptops. Plus, a new G-Assist Plug-In Hub enables users to easily discover and download plug-ins to enable more G-Assist features. NVIDIA also announced a new path-traced particle system, coming in September to the NVIDIA RTX Remix modding platform, that brings fully simulated physics, dynamic shadows and realistic reflections to visual effects. In addition, NVIDIA named the winners of the NVIDIA and ModDB RTX Remix Mod Contest. Check out the winners and finalist RTX mods in the RTX Remix GeForce article. G-Assist Gets Smarter, Expands to More RTX PCs The modern PC is a powerhouse, but unlocking its full potential means navigating a complex maze of settings across system software, GPU and peripheral utilities, control panels and more. Project G-Assist is a free, on-device AI assistant built to cut through that complexity. It acts as a central command center, providing easy access to functions previously buried in menus through voice or text commands. Users can ask the assistant to: * Run diagnostics to optimize game performance * Display or chart frame rates, latency and GPU temperatures * Adjust GPU or even peripheral settings, such as keyboard lighting The G-Assist update also introduces a new, significantly more efficient AI model that's faster and uses 40% less memory while maintaining response accuracy. The more efficient model means that G-Assist can now run on all RTX GPUs with 6GB or more VRAM, including laptops. Getting started is simple: install the NVIDIA app and the latest Game Ready Driver on Aug. 19, download the G-Assist update from the app's home screen and press Alt+G to activate. Another G-Assist update coming in September will introduce support for laptop-specific commands for features like NVIDIA BatteryBoost and Battery OPS. Introducing the G-Assist Plug-In Hub With Mod.io NVIDIA is collaborating with mod.io to launch the G-Assist Plug-In Hub, which allows users to easily access G-Assist plug-ins, as well as discover and download community-created ones. With the latest update, users can also directly ask G-Assist what new plug-ins are available in the hub and install them using natural language, thanks to a mod.io plug-in. The recent G-Assist Plug-In Hackathon showcased the incredible creativity of the G-Assist community. Here's a sneak peek of what they came up with: Some finalists include: * Omniplay -- allows gamers to use G-Assist to research lore from online wikis or take notes in real time while gaming * Launchpad -- lets gamers set, launch and toggle custom app groups on the fly to boost productivity * Flux NIM Microservice for G-Assist -- allows gamers to easily generate AI images from within G-Assist, using on-device NVIDIA NIM microservices The winners of the hackathon will be announced on Wednesday, Aug. 20. Building custom plug-ins is simple. They're based on a foundation of JSON and Python scripts -- and the Project G-Assist Plug-In Builder helps further simplify development by enabling users to code plug-ins with natural language. Mod It Like It's Hot With RTX Remix Classic PC games remain beloved for their unforgettable stories, characters and gameplay -- but their dated graphics can be a barrier for new and longtime players. NVIDIA RTX Remix enables modders to revitalize these timeless titles with the latest NVIDIA gaming technologies -- bridging nostalgic gameplay with modern visuals. Since the platform's release, the RTX Remix modding community has grown with over 350 active projects and over 100 mods released. The mods span a catalog of beloved games like Half-Life 2, Need for Speed: Underground, Portal 2 and Deus Ex -- and have amassed over 2 million downloads. In May, NVIDIA invited modders to participate in the NVIDIA and ModDB RTX Remix Mod Contest for a chance to win $50,000 in cash prizes. At Gamescom, NVIDIA announced the winners: These modders tapped RTX Remix and generative AI to bring their creations to life -- from enhancing textures to quickly creating images and 3D assets. For example, the Merry Pencil Studios modder team used a workflow that seamlessly connected RTX Remix and ComfyUI, allowing them to simply select textures in the RTX Remix viewport and, with a single click in ComfyUI, restore them. The results are stunning, with each texture meticulously recreated with physically based materials layered with grime and rust. With a fully path-traced lighting system, the game's gothic horror atmosphere has never felt more immersive to play through. All mods submitted to the RTX Remix Modding Contest, as well as 100 more Remix mods, are available to download from ModDB. For a sneak peek at RTX Remix projects under active development, check out the RTX Remix Showcase Discord server. Another RTX Remix update coming in September will allow modders to create new particles that match the look of those found in modern titles. This opens the door for over 165 RTX Remix-compatible games to have particles for the first time. To get started creating RTX mods, download NVIDIA RTX Remix from the home screen of the NVIDIA app. Read the RTX Remix article to learn more about the contest and winners. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, productivity apps and more on AI PCs and workstations. Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X -- and stay informed by subscribing to the RTX AI PC newsletter. Join NVIDIA's Discord server to connect with community developers and AI enthusiasts for discussions on what's possible with RTX AI. Follow NVIDIA Workstation on LinkedIn and X. See notice regarding software product information.

NVIDIA cuts VRAM requirement to run G-Assist, almost all RTX GPUs now have access

TL;DR: NVIDIA expands Project G-Assist, enabling its AI-powered software to run on RTX GPUs with as little as 6GB VRAM. This update enhances accessibility and performance for users with mid-range graphics cards, delivering intuitive AI assistance across a broader range of NVIDIA hardware. NVIDIA has announced it is expanding the number of devices that can access its intuitive, locally run AI, Project G-Assist, with the company now lowering the barrier of entry through a new AI model. NVIDIA is kicking off Gamescom 2025 by announcing a new AI model for Project G-Assist, which uses 40% less VRAM. As a result, RTX GPUs with 6GB or more VRAM, including laptops, can now access the virtual assistant. In addition to lowering the barrier of entry for Project G-Assist, NVIDIA has laptop commands that users can take advantage of. With G-Assist now available in a broader range of RTX PCs, including laptops, NVIDIA has informed us that, despite requiring 40% less VRAM, G-Assist will maintain its accuracy in responses. Furthermore, G-Assist has received its biggest update yet, as users are now able to access the G-Assist Plug-In Hub, as NVIDIA has partnered with mod.io. The partnership enables G-Assist users to easily access G-Assist plug-ins, which are created by the community. Moreover, G-Assist can discover, download, and install plug-ins directly from the chat window through the use of natural language. NVIDIA explained to us that G-Assist will automatically detect the right plug-in a user requests, download it, and inform the user how to operate it. Notably, NVIDIA recommends 12GB of VRAM to run the current G-Assist model, which showcases how much of a substantial upgrade this is.

NVIDIA Project G-Assist Cuts Memory Usage By 40% & Available On All RTX GPUs With 6GB+ VRAM, App Adds Global DLSS Overrides, Smooth Motion On RTX 40 GPUs, More Legacy Settings

NVIDIA Project G-Assist brings faster performance, while NVIDIA App adds smooth motion on RTX 40, more features, & expanded support for RTX GPUs. NVIDIA's Project G-Assist Is Now More Responsive Thanks To Lower VRAM Usage, NVIDIA App Adds Smooth Motion Support On RTX 40 Series, More Features & Expanded Support For RTX GPUs NVIDIA's App and Project G-Assist are receiving major updates. Starting with Project G-Assist, the new update makes the AI utility lighter and more responsive by reducing the memory usage by 40%. There is also improved support for plugins, which can now be auto-selected for your specific tasks. G-Assist is also getting support on NVIDIA's RTX Notebooks with new laptop commands to fine-tune Max-Q capabilities, Battery Boost, and Battery Ops. Additionally, the NVIDIA Project G-Assist tool is now available across all RTX AI PCs with 6 GB or higher VRAM. Previously, the tool was only supported by 12 GB VRAM+ GPUs, but with the new update, it is available to a larger user base. The tool will also allow users to access a huge list of plugins from Mod.io that can be installed directly from G-Assist. * Global DLSS Overrides: Easily enable DLSS Multi-Frame Generation or DLSS Super Resolution profiles globally across hundreds of DLSS Override titles, instead of needing to configure per title. * Project G-Assist Upgrades: The latest update to Project G-Assist -- an on-device AI assistant that lets users control and tune their RTX systems with voice and text commands -- introduces a significantly more efficient AI model that uses 40% less memory. Despite its smaller footprint, it responds to queries faster and more accurately calls the right tools. * Highly Requested Legacy 3D Settings: Use easily configurable control panel settings -- including anisotropic filtering, anti-aliasing, and ambient occlusion -- to enhance classic games. The NVIDIA App is also getting some major upgrades at Gamescom, which are available starting today. These include new DLSS overdrive updates, which will now enable users to select the "Global" toggle and overlay status for DLSS overrides. This is a cool feature as it will allow DLSS enablement in a countless list of games that don't officially support DLSS. Furthermore, NVIDIA is officially adding Smooth Motion support for RTX 40 GPUs in the NVIDIA App. Smooth Motion was already available through a BETA GeForce driver, and now, it can be enabled within the App. Since Smooth Motion is a software/driver-level frame-generation enabler, it has advantages as not every game supports DLSS but it also has its drawbacks versus a proper DLSS integration with visual fidelity being one of them. Finally, NVIDIA App is adding several new control panel features that were part of the "Legacy" control panel app. These include additional 3D Settings, NVIDIA Surround, and more. Additional settings are also being added for classic games, such as Anisotropic Filtering, Texture Filtering, Anti-Aliasing, and a bunch more (10 in total). BETA users will be able to access the new NVIDIA App starting 19th of August, and non-BETA users will be able to download it a week later.