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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 Adaption?

Adaption offers users a robust suite of tools designed for the development of AI models that can adapt to changing data and evolving requirements. This all-encompassing web platform features vital functionalities like data preparation, synthetic data creation, dataset exploration, and model training processes. The Adaptive Data feature enables users to seamlessly import diverse files and datasets from platforms such as Hugging Face or Kaggle, while providing capabilities for column mapping, deduplication, prompt transformation, augmentation, translation, and evaluation. Through the Invent a Dataset function, users can create instruction or preference data tailored to specific written goals. The Visualize component further enriches the user experience by supporting inquiries with interactive charts and allowing for detailed examination of both text and tabular data at a granular level. AutoScientist is instrumental in refining training data and customizing model recipes to achieve targeted objectives, facilitating experimentation, outcome assessment, and the export of enhanced models. The platform also encompasses workflows that address fine-tuning, alignment, multilingual dataset expansion, and comprehensive data-coverage analysis, ensuring thoroughness in development. Moreover, Adaption provides API access alongside a Python SDK, making it easier to integrate these tools into existing AI development pipelines, thereby significantly boosting productivity and operational efficiency in the creation of models. In conclusion, Adaption stands out as an invaluable resource for developers aiming to effectively harness the power of AI technology in their projects.

Media

Media

No images available

Integrations Supported

Hugging Face
GitHub
NVIDIA Isaac Sim

Integrations Supported

Hugging Face
Kaggle
Together AI

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

Not specified

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

Adaption

Date Founded

2026

Company Location

United States

Company Website

adaptionlabs.ai

Categories and Features

AI Models

Not specified

AI World Models

Not specified

Foundation Models

Not specified

Categories and Features

AI Development

Not specified

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