Physical AI integrates artificial intelligence with physical systems, enabling machines to interact seamlessly with the real world in a virtual environment, enhancing sectors such as robotics and autonomous driving. However, developing Physical AI presents significant challenges, including ensuring systems accurately replicate real-world diversity, necessitating ongoing refinement and validation.​

NVIDIA’s Cosmos World Foundation Models (WFMs) address these challenges by providing pre-trained models that simulate real-world physics, enabling developers to create AI systems capable of understanding and interacting with the physical world, leading to more efficient and intelligent solutions. Complementing COSMOS, the NeMo Framework simplifies the customization of these models to meet specific needs, allowing developers to fine-tune AI applications for improved performance, broadening the scope of AI solutions. 

​By integrating NVIDIA’s Cosmos World Foundation Models and the NeMo Framework, developers can accelerate the creation of AI systems that understand complex physical interactions and adapt to diverse applications, revolutionizing robotics and autonomous driving while enhancing innovation and efficiency across industries.