Nvidia CEO unveils robot powered by new AI chips at GTC 2025

Key Concepts:

• Newton: A physics engine partnership between DeepMind, Disney Research, and Nvidia.
• Real-time simulation: Simulating physics and interactions in real-time.
• Robotics training: Using simulation to train robots.
• Group N1: Nvidia's open-sourced AI infrastructure for cloud, enterprise, and robots.
• GM partnership: Nvidia partnering with General Motors to build their future self-driving car fleet.
• AI infrastructure: AI solutions for manufacturing, enterprise operations, and in-car systems.
• Nvidia Dynamo: The operating system of an AI factory.
• Scale up: Increasing computational power and memory bandwidth.

Newton Physics Engine

Nvidia announced Newton, a physics engine developed in partnership with DeepMind and Disney Research. Newton enables real-time simulation of physics, including tactile feedback, rigid body dynamics, and soft body interactions. The demonstration featured a robot named Blue, showcasing Newton's capabilities. The speaker emphasized that Newton will be used to train robots in the future. Blue has two Nvidia computers inside.

Open-Sourced AI Infrastructure (Group N1)

Nvidia is open-sourcing its AI infrastructure, referred to as Group N1, across three domains: cloud, enterprise, and robotics. This initiative aims to provide tools and resources for developers and researchers in these areas.

GM Partnership for Self-Driving Cars

General Motors (GM) has selected Nvidia as a partner to develop their future self-driving car fleet. This collaboration will focus on three key areas:

• AI for Manufacturing: Revolutionizing GM's manufacturing processes using AI.
• AI for Enterprise: Transforming how GM designs and simulates cars, as well as other enterprise operations.
• AI for In-Car Systems: Developing AI infrastructure for GM's vehicles.

Nvidia Dynamo: AI Factory Operating System

Nvidia Dynamo is introduced as the operating system of an AI factory. The speaker highlights the extreme scale-up achieved, with massive computational power and a memory bandwidth of 570 terabytes per second. Everything in the machine is now in the trillions.

Conclusion

The announcements highlight Nvidia's advancements in AI and simulation, including the Newton physics engine, open-sourced AI infrastructure, the GM partnership for self-driving cars, and Nvidia Dynamo as the operating system for AI factories. These initiatives demonstrate Nvidia's commitment to driving innovation in robotics, autonomous vehicles, and AI-powered solutions across various industries.