By Kelly Cloonan
Nvidia is extending its safety system for autonomous vehicles to encompass robotics and physical artificial intelligence.
The chipmaker on Monday unveiled Halos for Robotics, which aims to boost safety as autonomous robots scale up, allowing companies to rely on a standardized, unified safety system that connects AI compute, system software, sensor data, safety applications and inspection.
"Physical AI is transforming how factories, warehouses and logistics operations work, and robotics teams need a unified safety architecture to scale autonomous systems into these environments," said Deepu Talla, vice president of robotics and edge AI at Nvidia.
Agility, a humanoid robotics and physical AI company, is the first to use the Halos for Robotics system, Nvidia said. Agility will use the system for its humanoids used in factories, warehouses and logistics operations for customers including Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada.
Nvidia said Halos Core for its IGX platform is available in early access for registered developers in Linux and Linux plus QNX OS for Safety 8.0 configurations. An open source Nvidia Halos Outside-In Safety Blueprint is now available in early access on GitHub, the company said.
Nvidia also separately on Monday disclosed that 35 of its AI HPC supercomputers are in development across Europe, representing the region's largest one-year expansion of supercomputers.
The supercomputer buildout spans national supercomputing centers, AI factories and academic research institutions, and will support research across climate science, healthcare, clean-energy decarbonization, quantum computing and fundamental science, Nvidia said.
Write to Kelly Cloonan at kelly.cloonan@wsj.com
(END) Dow Jones Newswires
June 22, 2026 10:08 ET (14:08 GMT)
Copyright (c) 2026 Dow Jones & Company, Inc.
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