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 affords all of the instruments and assets to assist.
The hackathon invitations the neighborhood to develop the capabilities of Venture G-Helpan experimental AI assistant out there via 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 additionally be featured on NVIDIA’s social media channels.
Register for the hackathon and take a look at the curated technical assets under to deliver these submissions to life.
(G-)Help With AI
When within the warmth of a gaming second or the movement of a inventive challenge, interrupting one’s focus to navigate advanced PC settings menus is a typical frustration. For instance, manually tweaking GPU efficiency or optimizing system parameters usually requires leaving the consumer’s present utility, 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 system and might be accessed straight from the NVIDIA overlay inside the NVIDIA App — no have to tab out or swap packages.
Customers may also develop its capabilities by way of plug-ins and even join it to agentic frameworks similar to Longflow. G-Help plug-ins might be in-built a number of methods, together with with Python for speedy 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 at the least 12GB of VRAM, a Home windows 11 or 10 working system, a suitable CPU (Intel Pentium G Collection, Core i3, i5, i7 or greater; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or greater), particular disk house necessities and a current 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 assets that may assist:
Sydney Altobell, a senior software program engineer at NVIDIA, affords suggestions and methods 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 workforce have already answered many questions on plug-in submissions — hold the questions coming.
Plus, discover NVIDIA’s GitHub repositorywhich gives every part wanted to get began creating 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 useful 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 via 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 how one can construct them from scratch.
Discover submission particulars and necessities on the Hackathon entry web page.
Every week, the RTX AI Storage weblog sequence 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 brokersinventive workflows, productiveness apps and extra on AI PCs and workstations.
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