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Description
Charg is a platform for managing the lifecycle of AI infrastructure, converting established enterprise-grade supercomputing systems into adaptable cloud environments for AI and high-performance computing. The public HPC cloud offered by Charg allows access to resources ranging from a single GPU to an extensive 60+ PFLOPS cluster, enabling teams to harness supercomputing capabilities without the need to own or maintain the physical hardware. It utilizes advanced CRAY supercomputers and the robust NVIDIA DGX architecture, which integrates clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and extensive all-flash CEPH storage, ensuring low-latency and high-throughput performance. Charg is specifically designed to handle intensive AI tasks, scientific research, and engineering computations, facilitating activities such as model training, large-scale inference, simulations, intricate data analysis, finite element analysis, and computational fluid dynamics. With an API-driven infrastructure, Charg not only scales seamlessly with existing workflows but also offers on-demand capacity, free from operational limitations, making it an ideal choice for diverse computational needs. This flexibility ensures that organizations can dynamically adjust their resources to meet changing demands without any hassle.
Description
NVIDIA has introduced Project G-Assist, a revolutionary AI assistant aimed at improving the gaming experience for GeForce RTX users by offering system optimizations, real-time diagnostics, and customizable peripherals through straightforward voice or text commands. This feature is embedded within the NVIDIA app, allowing G-Assist to automatically modify game settings for the best performance or visual quality, track and display essential performance metrics such as frame rates and system latency, and control lighting effects on compatible devices from manufacturers like Logitech, Corsair, MSI, and Nanoleaf. Utilizing a locally operated Small Language Model (SLM), G-Assist guarantees quick responsiveness and functions without requiring an internet connection. Users can easily activate G-Assist either through the NVIDIA app overlay or by pressing Alt+G, leveraging the GeForce RTX GPU to carry out AI inference tasks. Additionally, developers and tech enthusiasts have the opportunity to enhance G-Assist's functionality via a community-focused plugin architecture, providing ample resources and example plugins for inspiration. This innovative approach not only empowers users but also fosters a collaborative environment for ongoing development and improvement of the gaming experience.
API Access
Has API
API Access
Has API
Integrations
Gemini
Gemini Enterprise
Logitech Capture
Pricing Details
$0.99 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Charg
Country
United States
Website
charg.cloud/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/software/nvidia-app/g-assist/