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What is NVIDIA Cosmos?

NVIDIA Cosmos is an innovative platform designed specifically for developers, featuring state-of-the-art generative World Foundation Models (WFMs), sophisticated video tokenizers, robust safety measures, and an efficient data processing and curation system that enhances the development of physical AI technologies. This platform equips developers engaged in fields like autonomous vehicles, robotics, and video analytics AI agents with the tools needed to generate highly realistic, physics-informed synthetic video data, drawing from a vast dataset that includes 20 million hours of both real and simulated footage. As a result, it allows for the quick simulation of future scenarios, the training of world models, and the customization of particular behaviors. The architecture of the platform consists of three main types of WFMs: Cosmos Predict, capable of generating up to 30 seconds of continuous video from diverse input modalities; Cosmos Transfer, which adapts simulations to function effectively across varying environments and lighting conditions, enhancing domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for effective planning and decision-making. Through these advanced capabilities, NVIDIA Cosmos not only accelerates the innovation cycle in physical AI applications but also promotes significant advancements across a wide range of industries, ultimately contributing to the evolution of intelligent technologies.

What is FNA?

Our platform is specifically designed to meet the needs of both analysts and senior executives, empowering teams to quickly derive insights and make informed decisions in critical areas such as payment processing and liquidity management. It effectively integrates and aggregates information from a variety of online APIs and data sources. Users have the ability to validate, cleanse, and reconcile datasets, preparing them for thorough analysis. The system supports the monitoring and investigation of complex networks through engaging interactive dashboards. In addition, it allows for the simulation of payment and settlement systems, transforming raw data into practical insights. FNA’s platform features a sophisticated suite of automated data visualization tools that provide real-time mapping and network capabilities, enabling users to extract significant meaning from their datasets swiftly. Moreover, with the ability to simulate any global payment or settlement system, organizations that utilize the FNA platform can successfully respond to major changes, such as new regulatory requirements and the emergence of innovative market players like Central Bank Digital Currencies (CBDCs). This adaptability guarantees that businesses stay agile and well-informed in an ever-changing environment, ensuring they can navigate the complexities of the financial landscape effectively. Ultimately, our platform not only enhances decision-making but also fosters a proactive approach to strategic planning.

Media

Media

Integrations Supported

GitHub
Hugging Face
NVIDIA Isaac Sim

Integrations Supported

Active Directory
Amazon Web Services (AWS)
Cloudera
Docker
Google Cloud Platform
MySQL
Okta
Ping Identity
Teradata VantageCloud

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/ai/cosmos/

Company Facts

Organization Name

FNA

Date Founded

2013

Company Location

United Kingdom

Company Website

fna.fi/

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Categories and Features

Banking

Not specified

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