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NVIDIA's new Halos framework shifts physical AI safety from isolated pre-deployment checks to a continuous lifecycle model covering hardware, software, and AI behavior. By integrating rigorous validation processes with ISO/IEC 17020 accreditation readiness, the company aims to support the massive scale-up of autonomous vehicles and industrial robots projected for the mid-2030s. This approach addresses the critical need for functional safety assurance as physical AI systems increasingly share operational space with humans.

Sources coveringQuantum Zeitgeist, Latent Space, Fortune

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NVIDIA pushes safety checks across all layers of physical AI

Quantum ZeitgeistSeptember 22, 20265 min read

As physical AI scales, NVIDIA is prioritizing safety across all system layers—hardware, software, and AI—to support projected deployments of 49 million autonomous vehicles by 2035.

With 49 million level 3-5 autonomous vehicles projected on roads by 2035, and an estimated 60 million industrial robots deployed between 2026 and 2035, ensuring the safety of physical AI systems is no longer a future concern, it is a present imperative. NVIDIA is responding with Halos, a full-stack safety system designed to engineer safety “across every layer of design, validation and deployment.” The company asserts this approach extends beyond pre-deployment checks, demanding ongoing assurance of hardware, software, AI behavior, and the operating environment as these machines increasingly share space with people. This scale of machine…

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