By providing access to critical infrastructure — from simulation frameworks to AI models — NVIDIA is enabling collaborative development that accelerates the path to safer, more capable autonomous systems.

The NVIDIA Developer Blog provides developers with a  knowledge on GPU computing, AI, and deep learning, offering tutorials, code samples, and real-world applications of NVIDIA technologies. From optimizing GPU-accelerated algorithms to implementing  AI models, developers can learn practical techniques and strategies for harnessing the power of NVIDIA GPUs in their projects. Moreover, the blog highlights advancements in GPU architectures, CUDA programming, and GPU-accelerated libraries, empowering developers to stay at the forefront of GPU computing innovation.

NVIDIA

NVIDIA has released open-source physical AI models and frameworks to accelerate robotics and autonomous vehicle development. The suite includes Cosmos world models, Isaac Lab-Arena for policy evaluation, Alpamayo for autonomous vehicles, and OSMO for training orchestration. Companies like Caterpillar, LEM Surgical, NEURA Robotics, and AgiBot demonstrated implementations at CES 2026, using these tools for applications ranging from heavy equipment operation to surgical robots and humanoids. The stack leverages OpenUSD for standardized 3D data sharing and Omniverse for simulation, enabling developers to train and test systems in digital twins before real-world deployment.

Into the Omniverse: Physical AI Open Models and Frameworks Advance Robots and Autonomous Systems

How Robotics Developers Are Using New Toolkits and Frameworks