Digital Event Horizon
NVIDIA has unveiled its new Cosmos platform, which introduces a family of world foundation models that can predict and generate physics-aware videos of the future state of a virtual environment. This innovation is poised to revolutionize the field of physical AI development, making it easier for developers to build next-generation robots and autonomous vehicles.
NVIDIA has unveiled its latest innovation, Cosmos, a platform that introduces world foundation models (WFMs) for physical AI development. The WFMs can predict and generate physics-aware videos of the future state of a virtual environment. The first wave of Cosmos WFMs is available for free under NVIDIA's permissive open model license. The platform enables enterprises to bring their physical AI applications to market more quickly without significant barriers to entry. Industry leaders in robotics and AV development are already working with Cosmos to accelerate and enhance model development. The platform includes a data processing and curation pipeline powered by NVIDIA NeMo Curator for efficient data processing. The platform features powerful video and image tokenizers that deliver superior quality and reduced computational costs. Developers can harness model training and fine-tuning capabilities offered by the NeMo framework. The platform includes guardrails to ensure responsible and safe use of the models, such as mitigating harmful text and image inputs.
NVIDIA has made a groundbreaking announcement at CES 2025, unveiling its latest innovation that is poised to revolutionize the field of physical AI development. The company's new platform, known as Cosmos, introduces a family of world foundation models (WFMs) - neural networks that can predict and generate physics-aware videos of the future state of a virtual environment. These WFMs are designed to help developers build next-generation robots and autonomous vehicles (AVs).
The development of WFMs is a significant milestone in the evolution of AI, as they have become as fundamental as large language models. The Cosmos platform uses input data, including text, image, video, and movement, to generate and simulate virtual worlds in a way that accurately models the spatial relationships of objects in the scene and their physical interactions.
The first wave of Cosmos WFMs has been made available for physics-based simulation and synthetic data generation, along with state-of-the-art tokenizers, guardrails, an accelerated data processing and curation pipeline, and a framework for model customization and optimization. These models are now freely available under NVIDIA's permissive open model license that allows commercial usage.
Researchers and developers, regardless of their company size, can freely use the Cosmos models to build robotics and AV technology without significant barriers to entry. The platform also enables enterprises of all sizes to bring their physical AI applications to market more quickly. Developers can use Cosmos models directly to generate physics-based synthetic data or harness the NVIDIA NeMo framework to fine-tune the models with their own videos for specific physical AI setups.
Industry leaders in robotics and AV development, such as 1X Robotics, Agility Robotics, XPENG, Uber, and Waabi, are already working with Cosmos to accelerate and enhance model development. The platform's openness unblocks physical AI developers, enabling them to build robots and AVs more efficiently and effectively.
The Cosmos platform includes a data processing and curation pipeline powered by NVIDIA NeMo Curator and optimized for NVIDIA data center GPUs. This pipeline enables developers to process 20 million hours of data in just 40 days on NVIDIA Hopper GPUs or as little as 14 days on NVIDIA Blackwell GPUs, making it an attractive solution for robotics and AV development.
The platform also features a suite of powerful video and image tokenizers that can convert videos into tokens at different compression ratios for training various transformer models. These tokenizers deliver 8x more total compression than state-of-the-art methods and 12x faster processing speed, which offers superior quality and reduced computational costs in both training and inference.
Developers using Cosmos can also harness model training and fine-tuning capabilities offered by the NeMo framework, a GPU-accelerated framework that enables high-throughput AI training. The platform includes guardrails to ensure responsible and safe use of the models, such as mitigating harmful text and image inputs during preprocessing and screening generated videos for safety.
Cosmos also features an inbuilt watermarking system that enables identification of AI-generated sequences, providing an additional layer of security and transparency. The platform's development aligns with NVIDIA's trustworthy AI principles, which include nondiscrimination, privacy, safety, security, and transparency.
The Cosmos platform was developed by NVIDIA Research, and its research paper, "Cosmos World Foundation Model Platform for Physical AI," provides further details on model development and benchmarks. Model cards offering additional information are available on Hugging Face.
In conclusion, the introduction of the Cosmos World Foundation Models is a significant milestone in the evolution of physical AI development. The platform's openness and accessibility make it an attractive solution for researchers and developers worldwide, enabling them to build next-generation robots and AVs more efficiently and effectively.
Related Information:
https://blogs.nvidia.com/blog/cosmos-world-foundation-models/
Published: Tue Jan 7 08:01:22 2025 by llama3.2 3B Q4_K_M
