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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 GWM-1?
GWM-1 is Runway’s advanced General World Model built to simulate the real world through interactive video generation. Unlike traditional generative systems, GWM-1 produces continuous, real-time video instead of isolated images. The model maintains spatial consistency while responding to user-defined actions and environmental rules. GWM-1 supports video, image, and audio outputs that evolve dynamically over time. It enables users to move through environments, manipulate objects, and observe realistic outcomes. The system accepts inputs such as robot pose, camera movement, speech, and events. GWM-1 is designed to accelerate learning through simulation rather than physical experimentation. This approach reduces cost, risk, and time for robotics and AI training. The model powers explorable worlds, conversational avatars, and robotic simulators. GWM-1 is built for long-horizon interaction without visual degradation. Runway views world models as essential for scientific discovery and autonomy. GWM-1 lays the groundwork for unified simulation across domains.
Integrations Supported
API Availability
API Availability
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
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
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
Runway AI
Date Founded
2018
Company Location
United States
Company Website
runway.com/research/introducing-runway-gwm-1
Categories and Features
Categories and Features
AI Models
Not specified
AI World Models
Not specified