Description
Cosmos3-Edge, developed by NVIDIA, is an advanced AI model that forms part of the Cosmos3 collection. It is designed to facilitate the development of Physical AI by enabling machines to understand, simulate, and interact with the physical world. This model is particularly useful in areas such as robotics, autonomous driving, and smart space environments, including industrial and factory-scale applications.
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The model is built on a Mixture-of-Transformers (MoT) architecture, which includes an autoregressive transformer for discrete token generation and a diffusion transformer for continuous multimodal generation. This architecture allows Cosmos3-Edge to handle heterogeneous modalities within a single framework, ensuring that each modality is generated using the most suitable mechanism.
Cosmos3-Edge is capable of generating coherent text, images, video, and action outputs from multimodal inputs, including text, images, video, and action trajectories. This makes it a foundational tool for a wide range of applications, including world understanding, world generation, simulation, and embodied policy learning.
The model supports a variety of input and output formats, with specific parameters for text, image, video, and action inputs. It is optimized to run on NVIDIA GPU-accelerated systems, leveraging NVIDIA's hardware and software frameworks to achieve faster training and inference times compared to CPU-only solutions.
Cosmos3-Edge is released under the OpenMDW1.1 license and is available for global deployment. It is suitable for both commercial and non-commercial use, making it accessible to a wide range of users and applications. The model's capabilities are further enhanced by its integration with software such as vLLM-Omni, PyTorch, and Hugging Face Diffusers.
- CategoryAI Models & LLMs
- Pricing ModelOpen Source
- DeploymentCloud
- PlatformsLinux
Cosmos3-Edge Highlights
Omnimodal world model
Mixture-of-Transformers architecture
Supports text, image, video, and action inputs
Generates coherent multimodal outputs
Optimized for NVIDIA GPU-accelerated systems
OpenMDW1.1 license
Global deployment
Commercial and non-commercial use
Getting Started with Cosmos3-Edge
Access model: Visit Hugging Face
Authenticate: Use your credentials
Set up environment: Configure NVIDIA GPU
Integrate via API: Use vLLM-Omni or PyTorch
Optimize: Leverage CUDA libraries
Cosmos3-Edge's Use Cases
- Robotics
- Autonomous Driving
- Smart Spaces
- Industrial Applications
- World Simulation
