Generative AI is transforming PC software into breakthrough experiences - from digital humans to writing assistants, intelligent agents and creative tools. NVIDIA RTX AI PCs are powering this transformation with technology that makes it simpler to get started experimenting with generative AI and unlock greater performance on Windows 11. NVIDIA TensorRT has been reimagined for RTX AI PCs, combining industry-leading TensorRT performance with just-in-time, on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs.

Announced at Microsoft Build, TensorRT for RTX is natively supported by Windows ML - a new inference stack that provides app developers with both broad hardware compatibility and state-of-the-art performance. For developers looking for AI features ready to integrate, NVIDIA software development kits (SDKs) offer a wide array of options, from NVIDIA DLSS to multimedia enhancements like NVIDIA RTX Video. This month, top software applications from Autodesk, Bilibili, Chaos, LM Studio and Topaz Labs are releasing updates to unlock RTX AI features and acceleration.

AI is rapidly reshaping what's possible on a PC—whether for real-time image generation or voice-controlled workflows. As AI capabilities grow, so does their complexity. Tapping into the power of AI can entail navigating a maze of system settings, software and hardware configurations. Enabling users to explore how on-device AI can simplify and enhance the PC experience, Project G-Assist—an AI assistant that helps tune, control and optimize GeForce RTX systems—is now available as an experimental feature in the NVIDIA app. Developers can try out AI-powered voice and text commands for tasks like monitoring performance, adjusting settings and interacting with supporting peripherals. Users can even summon other AIs powered by GeForce RTX AI PCs.

And it doesn't stop there. For those looking to expand Project G-Assist capabilities in creative ways, the AI supports custom plug-ins. With the new ChatGPT-based G-Assist Plug-In Builder, developers and enthusiasts can create and customize G-Assist's functionality, adding new commands, connecting external tools and building AI workflows tailored to specific needs. With the plug-in builder, users can generate properly formatted code with AI, then integrate the code into G-Assist—enabling quick, AI-assisted functionality that responds to text and voice commands.

Generative AI is unlocking new capabilities for PCs and workstations, including game assistants, enhanced content-creation and productivity tools and more. NVIDIA NIM microservices, available now, and AI Blueprints, in the coming weeks, accelerate AI development and improve its accessibility. Announced at the CES trade show in January, NVIDIA NIM provides prepackaged, state-of-the-art AI models optimized for the NVIDIA RTX platform, including the NVIDIA GeForce RTX 50 Series and, now, the new NVIDIA Blackwell RTX PRO GPUs. The microservices are easy to download and run. They span the top modalities for PC development and are compatible with top ecosystem applications and tools.

The experimental System Assistant feature of Project G-Assist was also released today. Project G-Assist showcases how AI assistants can enhance apps and games. The System Assistant allows users to run real-time diagnostics, get recommendations on performance optimizations, or control system software and peripherals - all via simple voice or text commands. Developers and enthusiasts can extend its capabilities with a simple plug-in architecture and new plug-in builder.

NVIDIA app is the essential companion for users with NVIDIA GPUs in their PCs and laptops. Whether you're a gaming enthusiast or a content creator, NVIDIA app simplifies the process of keeping your PC updated with the latest GeForce Game Ready and NVIDIA Studio Drivers, and enables quick discovery and installation of NVIDIA applications like GeForce NOW and NVIDIA Broadcast. In a new NVIDIA app update that's available now, we've expanded the functionality of our DLSS overrides, enabling you to fine tune image quality or boost performance for DLSS Super Resolution.

Additionally, we've brought Display Scaling and Display Color settings over from the NVIDIA Control Panel, modernizing and improving them, and taking another step towards unifying all NVIDIA GPU features in one responsive application. And via the Discover section, you can now download Project G-Assist, an experimental AI assistant that runs locally on GeForce RTX AI desktop PCs, helping users control a broad range of PC settings, from optimizing game and system settings, charting frame rates and other key performance statistics, to controlling select peripherals settings such as lighting - all via basic voice or text commands.

At Computex 2024, we showcased Project G-Assist - a tech demo that offered a glimpse of how AI assistants could elevate the PC experience for gamers, creators, and more. Today, we're releasing an experimental version of the Project G-Assist System Assistant feature for GeForce RTX desktop users, via NVIDIA app, with GeForce RTX laptop support coming in a future update. As modern PCs become more powerful, they also grow more complex to operate. Users today face over a trillion possible combinations of hardware and software settings when configuring a PC for peak performance - spanning the GPU, CPU, motherboard, monitors, peripherals, and more.

We built Project G-Assist, an AI assistant that runs locally on GeForce RTX AI PCs, to simplify this experience. G-Assist helps users control a broad range of PC settings, from optimizing game and system settings, charting frame rates and other key performance statistics, to controlling select peripherals settings such as lighting - all via basic voice or text commands.

Six months ago at Computex, NVIDIA showcased Project G-Assist - a tech demo that offered a glimpse of how AI assistants could elevate the PC experience for gamers, creators, and more. Today, we're excited to announce the initial release of the G-Assist System Assistant feature is coming to GeForce RTX users via the NVIDIA app in February. As modern PCs become more powerful, they also grow more complex to operate. Users today face over a trillion possible combinations of hardware and software settings when configuring a PC for peak performance - spanning GPU, CPU, monitors, motherboard, peripherals, and more.

NVIDIA built Project G-Assist, an experimental AI assistant that runs locally on GeForce RTX AI PCs, to simplify this experience. G-Assist helps users control a broad range of PC settings, from optimizing game and system settings, charting frame rates and other key performance statistics, to controlling select peripherals settings such as lighting - all via basic voice or text commands.

On Sunday, NVIDIA announced Project G-Assist, the AI chatbot for gamers that can be pulled up in the middle of the gameplay, and sought help from. You could just pause your game and Google for help, but G-Assist can be activated in game, and is situationally aware of your game (e.g.: it knows where you're stuck and how to help you out). It won't play the game for you, but give you actionable info on how to play, or improve. For example, you could ask it how to craft a particular weapon, and where to find the items needed in game, and get concise guidance. G-Assist also knows about your graphics card, framerates and other telemetry data.

We went hands-on with G-Assist, and found that it's very capable of doing the things NVIDIA claims it can, short of playing the game for you. They are showing a demo of ARK Survival, but the impressive part is that there's no integration of G-Assist in Ark—rather is runs as an injected overlay that can capture user input. This means that G-Assist can work in ANY game, even without official support. We also learned how G-Assist works under-the-hood, particularly how the chatbot is situationally aware of your game, and it's fascinating.

Imagine you're playing a game, you're stuck somewhere, don't know how to craft something, can't manage your inventory, or need to get out of some tricky puzzle. You normally pause and minimize your game, pull up a web-browser, and sift through dozens of search results to find the right Wiki or community thread that solves your problem. Wouldn't it be great, if you could pull up an in-game chat window and interact with an AI chat assistant (not unlike ChatGPT), except, the assistant is situationally aware of your entire game-state? That is NVIDIA Project G-Assist.

NVIDIA is training an AI on the vast ocean of information from the Internet on the countless games there are. You will soon be able to pull up an AI chat assistant, and will be able to either give it a text or natural voice input on how you want it to help you in the situation of the game you're in, and it will be able to guide you. G-Assist will not play the game for you, just give you precise and concise answers based on your game state (something no Google search or game wiki can). Besides assisting your gameplay, G-Assist will also help you with performance optimization and system tuning, the way the NVIDIA App and GeForce Experience already do.