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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

NVIDIA Picasso is an innovative cloud platform designed for the creation of visual applications utilizing generative AI technology. This service allows businesses, software developers, and service providers to execute inference on their models, train NVIDIA's Edify foundation models with their unique data, or utilize pre-trained models to create images, videos, and 3D content based on text prompts. Fully optimized for GPUs, Picasso enhances the efficiency of training, optimization, and inference processes on the NVIDIA DGX Cloud infrastructure. Organizations and developers are empowered to either train NVIDIA’s Edify models using their proprietary datasets or jumpstart their projects with models that have already been trained in collaboration with prestigious partners. The platform features an expert denoising network capable of producing photorealistic 4K images, while its temporal layers and innovative video denoiser ensure the generation of high-fidelity videos that maintain temporal consistency. Additionally, a cutting-edge optimization framework allows for the creation of 3D objects and meshes that exhibit high-quality geometry. This comprehensive cloud service supports the development and deployment of generative AI-based applications across image, video, and 3D formats, making it an invaluable tool for modern creators. Through its robust capabilities, NVIDIA Picasso sets a new standard in the realm of visual content generation.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe After Effects Yes 
Adobe Creative Cloud Yes 
Adobe Photoshop Yes 
Adobe Premiere Pro Yes 
Gemini No 
Gemini Enterprise No 
Getty Images Yes 
Logitech Capture No 
NVIDIA AI Foundations Yes 
NVIDIA DGX Cloud Yes 
Shutterstock Yes 

Integrations

Adobe After Effects No 
Adobe Creative Cloud No 
Adobe Photoshop No 
Adobe Premiere Pro No 
Gemini Yes 
Gemini Enterprise Yes 
Getty Images No 
Logitech Capture Yes 
NVIDIA AI Foundations No 
NVIDIA DGX Cloud No 
Shutterstock No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

NVIDIA

Country

United States

Website

www.nvidia.com/en-us/gpu-cloud/picasso/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/software/nvidia-app/g-assist/

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