NVIDIA has a deep and long-standing investment in functional safety. The company has accumulated over 18,000 engineering years on vehicle safety, assessed more than 21 billion safety transistors, and produced over 7 million lines of safety-assessed code. More than 22,000 platform safety monitors have been developed, 330+ research papers on AV safety published, and 30+ certificates and assessment reports issued. This body of work was built for AVs, one of the most demanding safety domains in engineering. The key insight behind Halos OS is that this proven foundation doesn’t need to be rebuilt f
Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI | NVIDIA Technical BlogNVIDIA IGX Thor is an enterprise-ready platform for physical AI. It offers server‑class AI performance together with industrial-grade hardware, advanced functional safety capabilities, extended lifecycle support, and an enterprise software stack in configurations suitable for industrial and medical environments. IGX Thor extends this compute and safety foundation to edge systems where uptime, reliability, and standards compliance are central to system design. With the IGX Thor platform, developers can build mission-critical edge computers that operate reliably in harsh physical conditions, int
NVIDIA IGX Thor Powers Industrial, Medical, and Robotics Edge AI Applications | NVIDIA Technical Blog…An OCI Dedicated AI Cluster (DAC) is a private, fully managed generative AI environment with its own dedicated GPUs, endpoints, and security boundary inside OCI. The MCG toolkit brings not only AI…
…For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here .
…For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here .
…By combining powerful open source models with built-in safety measures, NemoClaw simplifies and secures AI agent deployment. The NVIDIA Agent Toolkit, meanwhile, provides the full deployment stack —models, tools, evaluation, and…
…For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here .
…As AI continues reshaping development workflows, security must evolve concurrently, ensuring that innovation progresses without compromising safety and integrity. To learn more about adversarial machine learning, check out the self-paced NVIDIA…
…misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here .
…Workload determinism is critical for physical AI systems such as humanoid robots , autonomous machines , industrial automation , and medical devices . This is because perception, planning, control, generative AI , and safety workloads often share…
…SkillSpector scanning coverage is grounded in recognized AI security governance, including OWASP guidance for LLM , agentic AI risks , and MITRE ATLAS . The NVIDIA Skills scanning documentation lists the current coverage and is…
…policy limits reachability, and runtime enforcement adds a deeper policy layer for autonomous-agent safety. Get started implementing the Secure Agent Workspace Reference Design in your enterprise AI factory. Discuss (0) Discuss…