Sharing Project G-Assist from NVIDIA, an experimental AI assistant that runs locally on your GeForce RTX PC! Think of it as a co-pilot specifically for managing and optimizing your system, especially for gaming.
With simple voice or text commands, G-Assist can:
⚙️ Optimize System: Adjust performance and power settings. 🎮 Tweak Game Settings: Get help finding the best settings for your games. 📊 Monitor Performance: Chart FPS, latency, temps, and other stats in real-time.
💡 Control Peripherals: Change lighting on supported Logitech, Corsair, MSI, and Nanoleaf devices. ❓ Answer PC Questions: Get info about your hardware or NVIDIA software.
It uses a Llama-based SLM (8B parameters) running on your own GPU, making it responsive, free, and offline-capable. It's not meant to be a general chatbot like ChatGPT, but focused specifically on PC control and info.
What's particularly interesting is the plugin architecture. NVIDIA has released tools on GitHub for the community to build and share new functionalities for G-Assist (using Python or C++). They even provide a ChatGPT-powered "Plugin Builder" to help create them!
It's available now as an experimental feature via the NVIDIA App (initially for desktop RTX GPUs).
Looking forward to testing the auto-run rules with regex. Automating reading habits could be a great time-saver.
The citation generator is a useful tool for students and researchers. No more manually formatting references!
The ability to edit articles for a personalized reading experience is something I didn’t realize I needed until now. Love this flexibility.
Congratulations on the launch of Project G-Assist! Integrating AI directly into the GPU to assist with system tuning and optimization is a groundbreaking approach that promises to enhance gaming experiences significantly.
I have a couple of questions:
Does Project G-Assist offer real-time performance monitoring and adjustments during gameplay, or is it primarily focused on pre-game system optimization?
How does the AI adapt to different game genres or individual user preferences to provide personalized optimization recommendations?
G-Assist sounds like the dream co-pilot for PC power users love that it's both offline-capable and extensible. How seamless is the voice control in fast-paced gaming scenarios where quick adjustments are key?
More dyslexia-friendly fonts and an improved Dyslexia Ruler show a real commitment to accessibility. Reading should be easy for everyone.
Smart tag suggestions based on past usage are a nice touch. Saves time and keep everything well-organized without extra effort.
Having a distraction-free reading experience makes a huge difference, especially when dealing with cluttered web pages.
A lot of AI assistants work great in isolation but struggle with real workflows. Curious if that’s on the roadmap.
Hot take: this feature set does not need an 8b parameter model or ai… why is everyone desperately trying to ram ai down everybody’s throat? Is the product manager at nvidia trying to make the case that someone who owns a pc with an rtx gpu needs a ai to answer questions about the pc?
