NVIDIA’s Project G-Assist Hackathon: Unleash AI on RTX, Win Big!
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NVIDIA is calling all AI enthusiasts and developers to participate in the Project G-Assist Plug-In Hackathon, a virtual event running until July 16th, offering a chance to win cutting-edge GeForce RTX GPUs and recognition [[1]]. Participants will explore the capabilities of AI and build custom plug-ins for G-Assist, NVIDIA’s experimental AI assistant designed to tune, control, and optimize GeForce RTX systems.
G-Assist: Your AI Co-Pilot for RTX Systems
Project G-Assist, accessible through the NVIDIA App, empowers users to manage their RTX GPU and system settings using natural language [[1]]. This is made possible by a small language model operating directly on the device. Without needing to exit their current application, users can access G-Assist from the NVIDIA Overlay and expand its functionality through custom plug-ins, even connecting it to agentic frameworks like Longflow.
Did You Know? G-Assist requires a GeForce RTX 50, 40, or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10, and a compatible CPU.
Hackathon Details: Plug-In and Win!
the G-Assist Plug-In Hackathon encourages developers to create innovative plug-ins using Python for rapid growth, C++ for performance-critical applications, or custom system interactions for hardware and operating system automation [[1]]. For those who prefer a low-code approach,the G-Assist Plug-In Builder,a ChatGPT-based app,allows for plug-in development using natural language commands.
To enter the hackathon, participants must submit a GitHub repository containing the source code (plugin.py), requirements.txt, manifest.json, config.json (if applicable), a plug-in executable file, and a README file. A video demonstration (30 seconds to 2 minutes) showcasing the plug-in in action is also required. participants must promote their plug-in on Instagram, tiktok, or X using #AIonRTXHackathon.
Pro Tip: Judges will evaluate plug-ins based on innovation, technical execution (including G-Assist integration and scalability), and usability/community impact.
Prizes and recognition
Winners will be announced on Wednesday, August 20th. The first-place winner will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU, and third place a geforce RTX 5070 GPU [[1]]. The top three winners will also be featured on NVIDIA’s social media channels,have the opportunity to meet the NVIDIA G-Assist team,and receive an NVIDIA Deep Learning Institute self-paced course credit.
Plug-In Inspiration: Examples and Resources
NVIDIA offers a variety of open-source plug-in samples on GitHub to inspire developers. Popular examples include:
- Google Gemini: Enables search-based queries using Google Search and large language model-based queries using Gemini capabilities within the NVIDIA App Overlay [[1]].
- Discord: Allows users to share game highlights or messages directly to Discord servers without interrupting gameplay [[1]].
- IFTTT: Enables users to create automations across hundreds of compatible endpoints to trigger IoT routines [[1]].
- Spotify: Allows users to control Spotify using voice commands or the G-Assist interface [[1]].
- Twitch: Checks if a Twitch streamer is live and accesses stream information [[1]].
NVIDIA provides extensive resources to help developers get started, including a GitHub repository with sample plug-ins, step-by-step instructions, and documentation [[1]]. A technical blog also walks through the architecture of a G-Assist plug-in using a Twitch integration as an example [[1]].
Get G-Assist(ance)
Developers can join the NVIDIA Developer Discord channel to collaborate, share creations, and receive support from fellow AI enthusiasts and NVIDIA staff [[1]]. NVIDIA is also hosting a “How to Build a G-Assist Plug-In” webinar on Wednesday, July 9th, from 10-11 a.m. PT.
| Key Dates | Details |
|---|---|
| Hackathon end Date | July 16, 2025 |
| Winner Declaration | August 20, 2025 |
| webinar: How to Build a G-Assist Plug-In | July 9, 2025, 10-11 a.m. PT |
Unlocking the Potential of AI on RTX
Project G-Assist represents a significant step towards integrating AI directly into the PC gaming and content creation experience. By empowering users to control and optimize their systems with natural language, NVIDIA is paving the way for a more intuitive and efficient workflow. The G-Assist Plug-In Hackathon is a fantastic opportunity for developers to contribute to this exciting future and showcase their AI skills.
What innovative G-Assist plug-in ideas do you have? how do you see AI enhancing the PC experience in the future?
The Rise of AI Assistants in computing
AI assistants have become increasingly prevalent in various aspects of computing, from smartphones to smart homes. These assistants leverage natural language processing and machine learning to understand user commands and provide helpful information or automate tasks. Project G-Assist extends this trend to the realm of PC hardware, offering a new level of control and customization for gamers and creators. The integration of AI directly into the GPU allows for real-time optimization and personalized experiences, perhaps revolutionizing how users interact with their systems.
Frequently Asked Questions About NVIDIA G-Assist
- What is NVIDIA Project G-Assist?
- NVIDIA Project G-Assist is an experimental AI assistant designed to help tune, control, and optimize NVIDIA GeForce RTX systems using natural language.
- how can I access NVIDIA G-Assist?
- G-Assist is accessible through the NVIDIA App.
- What are the hardware requirements for NVIDIA G-Assist?
- G-Assist requires a GeForce RTX 50, 40, or 30 series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10, and a compatible CPU.
- What is the NVIDIA G-Assist Plug-In Hackathon?
- The G-Assist Plug-In Hackathon is a virtual event where developers can create custom plug-ins for G-Assist to expand its functionality.
- what are the prizes for the NVIDIA G-Assist Plug-In Hackathon?
- The first-place winner receives a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU, and third place a GeForce RTX 5070 GPU.
- where can I find resources to develop G-Assist plug-ins?
- NVIDIA provides a GitHub repository with sample plug-ins,documentation,and a ChatGPT-based Plug-In Builder.
Ready to dive into the world of AI-powered PC optimization? Share this article with your fellow developers and let’s build the future of G-Assist together! Subscribe to our newsletter for more cutting-edge tech news.
