Nvidia unveiled a suite of advanced AI technologies and infrastructure at SIGGRAPH 2025, aimed at enhancing robotics, physical AI applications, and world simulation. Key releases include the Nemotron reasoning models, such as the Nemotron Nano 2 and Llama Nemotron Super 1.5, which empower AI agents with improved reasoning capabilities. The company also introduced new Cosmos world foundation models and Omniverse SDKs designed for robotics development, featuring Cosmos Reason, a 7-billion-parameter vision-language reasoning model. These tools leverage synthetic data, 3D graphics, and AI to enable large-scale real-world reconstruction and multimodal learning, advancing the integration of AI with physical environments. Nvidia's RTX PRO Blackwell servers and DGX Cloud infrastructure support these developments, facilitating heavy-duty AI training and deployment. The innovations are positioned to impact industries by powering smarter robots for factories, cities, and industrial infrastructure. Nvidia describes this era as 'Graphics 3.0,' combining ray tracing, rasterization, and AI to drive productivity in physical AI. Additionally, Elon Musk's XAI has begun video AI training using Nvidia's latest chips, highlighting the broader adoption of Nvidia's technology in AI research and applications.
"We’re now in graphics 3.0—ray tracing, rasterization, and now, everything superpowered by AI." — Ming-Yu Liu, VP of Research, Deep Imagination Lab at NVIDIA. Hear Ming-Yu, along with our research leaders Sanja Fidler and Aaron Lefohn, explore how breakthroughs in computer https://t.co/x2O4g8Vp60
"We’re now in Graphics 3.0—ray tracing, rasterization, and now, everything superpowered by AI." — Ming-Yu Liu, VP of Research, Deep Imagination Lab at NVIDIA. Hear Ming-Yu, along with our research leaders Sanja Fidler and Aaron Lefohn, explore how breakthroughs in computer https://t.co/27lCKtnLW5
"We’re now in Graphics 3.0—ray tracing, rasterization, and now, everything superpowered by AI." — Ming-Yu Liu, VP of Research, Deep Imagination Research Lab at NVIDIA. Hear Ming-Yu, along with our research leaders Sanja Fidler and Aaron Lefohn, explore how breakthroughs in https://t.co/xhgeGy89tx