💻 programming

NVIDIA Cosmos

NVIDIA Cosmos is a world-based model platform for physics AI development.

#AI
#robot
#simulation
#Autonomous driving
#Physics AI
#world base model
NVIDIA Cosmos

Product Details

NVIDIA Cosmos is an advanced world-based model platform designed to accelerate the development of physical AI systems such as autonomous vehicles and robots. It provides a series of pre-trained generative models, advanced tokenizers and accelerated data processing pipelines, making it easier for developers to build and optimize physics AI applications. Cosmos reduces development costs and improves development efficiency through its open model license, and is suitable for enterprises and research institutions of all sizes.

Main Features

1
Provides pre-trained world base models for generating physically aware videos and world states
2
Supports multi-modal inputs such as images, text, and videos to produce high-quality output
3
Has built-in security safeguards like brand filtering and harmful content detection
4
Accelerate data processing and cleaning, improve data preparation efficiency
5
Support the development and fine-tuning of custom models to meet specific application needs
6
Integrates with NVIDIA Omniverse to support multiverse simulations and real-time decision-making

How to Use

1
1. Visit the NVIDIA Cosmos official website to learn about product features and usage guides.
2
2. Register and gain access to the basic model of the Cosmos world.
3
3. Choose an appropriate pre-trained model according to your needs or use Cosmos tools to develop a custom model.
4
4. Use NVIDIA NeMo Curator for data processing and cleaning to prepare high-quality training data.
5
5. Conduct multiverse simulations in NVIDIA Omniverse to test and optimize the performance of the physical AI system.
6
6. Deploy and integrate the Cosmos model into practical applications to implement physical AI functions.

Target Users

Suitable for developers in the fields of autonomous vehicles, robotics and visual AI, helping them quickly build and optimize physical AI systems.

Examples

Self-driving vehicle development: Use Cosmos to generate synthetic data of various driving scenarios for training and testing self-driving models.

Robot simulation: Use video data generated by Cosmos to predict robot behavior and optimize decision-making.

Visual AI applications: Use high-quality videos generated by Cosmos to improve the accuracy of visual recognition and analysis.

Quick Access

Visit Website →

Categories

💻 programming
› Development platform
› Model training and deployment

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