Nvidia and Google have announced a partnership aimed at advancing breakthroughs in agentic and physical AI. This collaboration will involve co-engineering critical infrastructure layers, including GPUs, networking, and software, specifically designed for agentic AI reasoning and simulations related to physical AI. Agentic AI focuses on developing autonomous agents capable of reasoning, planning, and interacting with tools to perform complex tasks independently, while physical AI utilizes simulation frameworks such as Isaac Sim and Omniverse to train robots and machines for real-world interactions.

Google: Google operates Google Cloud, a major provider of scalable infrastructure, AI models like the Gemini family, and enterprise platforms for hybrid cloud deployments. Google Cloud’s AI Hypercomputer enables large-scale AI factories and distributed computing. Through the recent collaboration with Nvidia, Google integrates these Nvidia technologies into its Gemini Enterprise Agent Platform and Distributed Cloud to advance agentic and physical AI breakthroughs.
Nvidia: Nvidia develops GPUs and accelerated computing platforms that power AI training, inference, and simulations worldwide. Its software ecosystem includes NeMo for custom AI models, Nemotron open foundation models, and Isaac Sim for robotics. In the expanded partnership with Google Cloud announced at Google Cloud Next 2026, Nvidia supplies Blackwell and Vera Rubin GPUs alongside these tools to accelerate agentic and physical AI.

`json
{
“Agentic AI Focus”: “Agentic AI emphasizes autonomous agents that reason, plan, and interact with tools to complete complex tasks independently.”,
“Partnership Scope”: “Nvidia and Google are co-engineering infrastructure layers including GPUs, networking, and software for agentic AI reasoning and physical AI simulations.”,
“Physical AI Enablement”: “Physical AI leverages simulation frameworks like Isaac Sim and Omniverse to train robots and machines for real-world interactions.”
}
`