Featured

Waydroid on Ubuntu installation

on
Ensure you are logged into a Wayland session (which is the default), open your terminal, and let us break this down into actionable, non-intimidating steps. 1. Prepare the Canvas First, we need to ensure your package manager is updated and has the necessary tools to fetch external repositories securely. Bash sudo apt update sudo apt install curl ca-certificates -y 2. Add the Official Repository Next, we introduce the Waydroid repository to your system. This command seamlessly integrates their package list into your local directory. Bash curl -s https://repo.waydro.id | sudo bash 3. Install Waydroid With the repository successfully added, installing the application is merely a matter of a single command. Bash sudo apt install waydroid -y 4. Initialise the Environment This is where the actual Android image is downloaded and configured. You have two distinct paths here, depending on your preference for independence: Vanilla Android (Lean, open-source, and highly recommended): Bash sudo wa...
0

Project G-Assist

on



NVIDIA has officially launched Project G-Assist, an AI assistant designed to enhance the PC experience for gamers and creators alike. 

Initially teased as an April Fool's joke in 2017, G-Assist has now become a reality, offering a suite of features aimed at optimizing system performance and user convenience. 

G-Assist provides real-time diagnostics to identify and alleviate system bottlenecks, improve power efficiency, and optimize game settings. Users can request performance metrics such as FPS, latency, GPU utilization, and temperature, and receive tailored recommendations.

The assistant can manage settings for supported peripherals from brands like Logitech G, Corsair, MSI, and Nanoleaf, allowing users to adjust lighting and fan speeds through simple commands. 

Unlike cloud-based AI models, G-Assist operates entirely on-device using a Llama-based Small Language Model (SLM) with 8 billion parameters. This ensures responsive performance without the need for an internet connection or subscription.

System Requirements:

To utilize G-Assist, users need a GeForce RTX 30, 40, or 50 Series Desktop GPU with at least 12GB of VRAM, running on Windows 10 or 11. The installation requires 6.5GB of disk space for the System Assistant and an additional 3GB for Voice Commands. 

Project G-Assist is available for download through the NVIDIA app's Discover section. Once installed, users can activate the assistant by pressing Alt+G. As an experimental feature, NVIDIA welcomes user feedback to guide future improvements and feature developments. 

Comments

Post a Comment