Submissions for NVIDIA’s Plug and Play: Venture G-Help Plug-In Hackathon are due Sunday, July 20, at 11:59pm PT. RTX AI Storage provides all of the instruments and sources to assist.
The hackathon invitations the neighborhood to increase the capabilities of Venture G-Help, an experimental AI assistant obtainable by the NVIDIA App that helps customers management and optimize NVIDIA GeForce RTX programs.
Entrants acquire the possibility to win a GeForce RTX 5090 laptop computer, or a restricted NVIDIA GeForce RTX 5080 or RTX 5070 Founders Version graphics card, plus NVIDIA Deep Studying Institute credit. Finalists may be featured on NVIDIA’s social media channels.
Register for the hackathon and take a look at the curated technical sources under to convey these submissions to life.
(G-)Help With AI
When within the warmth of a gaming second or the circulation of a artistic venture, interrupting one’s focus to navigate advanced PC settings menus is a standard frustration. For instance, manually tweaking GPU efficiency or optimizing system parameters typically requires leaving the person’s present software, which breaks focus.
Enter Venture G-Help, which permits customers to manage their RTX GPU and different system settings utilizing pure language. It’s powered by a small language mannequin that runs on gadget and might be accessed immediately from the NVIDIA overlay throughout the NVIDIA App — no have to tab out or change applications.
Customers may also increase its capabilities by way of plug-ins and even join it to agentic frameworks comparable to Langflow. G-Help plug-ins might be in-built a number of methods, together with with Python for fast growth, with C++ for performance-critical apps and with customized system interactions for {hardware} and working system automation.
Venture G-Help requires a GeForce RTX 50, 40 or 30 Collection Desktop GPU with not less than 12GB of VRAM, a Home windows 11 or 10 working system, a appropriate CPU (Intel Pentium G Collection, Core i3, i5, i7 or greater; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or greater), particular disk area necessities and a latest GeForce Recreation Prepared Driver or NVIDIA Studio Driver.
Cross the End Line
Because the hackathon’s submission deadline approaches this weekend, RTX AI Storage is offering sources that may assist:
Sydney Altobell, a senior software program engineer at NVIDIA, provides ideas and tips for working with G-Help plug-ins in this on-demand webinar. The presentation and Q&A can be found on the NVIDIA Developer YouTube channel and embedded under.
Fellow neighborhood builders are collaborating and sharing notes within the NVIDIA Developer Discord server. Altobell and the G-Help engineering crew have already answered many questions on plug-in submissions — maintain the questions coming.
Plus, discover NVIDIA’s GitHub repository, which offers every thing wanted to get began growing with G-Help, together with step-by-step directions and documentation for constructing customized functionalities. Take inspiration from pattern plug-ins, which embody code for utilizing G-Help to combine into Discord, IFTTT, Google Gemini and extra.
Study extra concerning the ChatGPT Plug-In Builder to remodel concepts into purposeful G-Help plug-ins with minimal coding. The device makes use of OpenAI’s customized GPT builder to generate plug-in code and streamline the event course of.
NVIDIA’s technical weblog walks by the structure of a G-Help plug-in, utilizing a Twitch integration for example. Uncover how plug-ins work, how they convey with G-Help and the best way to construct them from scratch.
Discover submission particulars and necessities on the Hackathon entry web page.
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