Submissions for NVIDIA’s Plug and Play: Mission G-Help Plug-In Hackathon are due Sunday, July 20, at 11:59pm PT. RTX AI Storage affords all of the instruments and sources to assist.
The hackathon invitations the neighborhood to broaden the capabilities of Mission G-Help, an experimental AI assistant accessible by means of the NVIDIA App that helps customers management and optimize NVIDIA GeForce RTX methods.
Entrants achieve the prospect 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 might also be featured on NVIDIA’s social media channels.
Register for the hackathon and take a look at the curated technical sources beneath to carry these submissions to life.
(G-)Help With AI
When within the warmth of a gaming second or the circulate of a inventive mission, interrupting one’s focus to navigate complicated PC settings menus is a standard frustration. For instance, manually tweaking GPU efficiency or optimizing system parameters usually requires leaving the person’s present utility, which breaks focus.
Enter Mission 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 system and could be accessed instantly from the NVIDIA overlay throughout the NVIDIA App — no must tab out or change applications.
Customers also can broaden its capabilities through plug-ins and even join it to agentic frameworks comparable to Langflow. G-Help plug-ins could be in-built a number of methods, together with with Python for speedy improvement, with C++ for performance-critical apps and with customized system interactions for {hardware} and working system automation.
Mission G-Help requires a GeForce RTX 50, 40 or 30 Sequence Desktop GPU with no less than 12GB of VRAM, a Home windows 11 or 10 working system, a suitable CPU (Intel Pentium G Sequence, Core i3, i5, i7 or increased; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or increased), particular disk house necessities and a latest GeForce Sport 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, affords 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 beneath.
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 supplies 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 embrace 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 instrument 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 means of 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 construct them from scratch.
Discover submission particulars and necessities on the Hackathon entry web page.
Every week, the RTX AI Storage weblog collection options community-driven AI improvements and content material for these trying to be taught extra about NVIDIA NIM microservices and AI Blueprints, in addition to constructing AI brokers, inventive workflows, productiveness apps and extra on AI PCs and workstations.
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