Ensure vehicle safety across the full AV stack with NVIDIA Halos.
Overview
NVIDIA Halos is a full-stack, comprehensive safety system that unifies vehicle architecture, AI models, chips, software, tools, and services to ensure the safe development and deployment of autonomous vehicles (AVs) from cloud to car.
The system covers the full development lifecycle with design-time, deployment-time, and validation-time guardrails that collectively build safety and explainability into AI-based AV stacks. These guardrails are implemented using three powerful computers—NVIDIA DGX™ for AI training, NVIDIA Omniverse™ and Cosmos™ for simulation, and NVIDIA AGX™ for deployment.
NVIDIA Halos complements existing industry-standard safety practices, while introducing unique elements for autonomous vehicles. This ensures regulatory compliance and advances safe and reliable AV stacks, together with NVIDIA’s Halos AI Systems Inspection Lab.
Halos is also extending its comprehensive safety framework beyond AVs to robotics, further enhancing the reliability and safety of intelligent systems.
Highlights
NVIDIA Halos is the result of continuous investment in autonomous vehicle safety—from research to engineering to active engagement with international safety standards—validated by independent third-party assessments.
Technology
As AV companies transition to AI-based, end-to-end architectures, NVIDIA Halos provides the critical safety foundation to ensure system-level reliability and iterative improvement for automated driving systems. This includes integration of third party-assessed hardware, software, and processes with a diverse algorithmic architecture and validation pipelines.
Benefits
NVIDIA Halos helps to ensure AI-driven AV systems are safe and secure. Partners can tap into NVIDIA’s investments in AI safety to accelerate development and enhance AV reliability. NVIDIA Halos is also open to developers, enabling adoption or customization of safety elements to drive the shared mission to create safe and reliable autonomous vehicle technology.
Design-time, deployment-time, and validation-time guardrails collectively build safety and explainability into several layers of technologies spanning platform safety, AI algorithmic safety, and ecosystem safety.
At the top of the NVIDIA Halos elements sits the NVIDIA Halos AI Systems Inspection Lab, which allows customers and ecosystem partners to verify the safe integration of their products with NVIDIA Halos elements. The lab is the first worldwide program to be accredited by ANAB for AI functional safety.
Use Cases
NVIDIA Halos integrates foundational models and a diverse algorithmic stack, combining classical and AI-based, end-to-end models to drive system-level safety in the shift toward AI-driven AV architectures.
The robust foundation for autonomous driving systems includes:
Algorithmic AI safety spans:
Building a safer AV ecosystem includes:
NVIDIA is the first company to establish an ANSI National Accreditation Board (ANAB)-accredited Halos AI Systems Inspection Lab, integrating functional safety, cybersecurity, AI, and regulations into a unified safety framework. The lab helps to ensure that partner system integrations meet rigorous safety and cybersecurity standards through impartial assessments.
By providing inspection reports and streamlining technical validations, the lab accelerates compliance with global safety standards for AV safety and cybersecurity. This empowers the automotive ecosystem to deploy safer, more reliable AI-driven technologies while advancing compliance with international standards.
The NVIDIA Halos AI Systems Inspection Lab has now expanded from AV to robotics.
“Joining NVIDIA's Halos AI Systems Inspection Lab marks our commitment to advancing driving safety. By combining Bosch's comprehensive in-house ADAS sensor expertise with NVIDIA's AI validation framework, we're setting new standards for safe and reliable ADAS solutions.”
— Dennis Raabe, Senior Vice President ADAS Components, Bosch
“NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines—from automotive to robotics—can meet the highest benchmarks for functional safety.”
— R. Douglas Leonard Jr., Executive Director, ANAB
“Aligned with our shared mission to enhance safety, efficiency and productivity, we congratulate NVIDIA on the launch of its Halos AI Systems Inspection Lab. The Lab's reports will provide valuable insights to support our certification efforts.”
— Thomas Steffens, Head of Certification Body Functional Safety and Cybersecurity, TUV Rheinland
Certification
Independent third-party safety and cybersecurity assessments of NVIDIA Halos elements demonstrate NVIDIA’s ongoing commitment to AV safety.
Research
Our research and development have published 240+ research papers on autonomous vehicle safety.
For a list of additional AV Research papers, click here.
Partners
Leading robotaxi companies, OEMs, industry safety pioneers, mapping and simulation companies, and software and sensor providers worldwide are using the system to deliver autonomous vehicle safety at all levels of automation.
Resources
Learn how cutting-edge AI, rigorous validation frameworks, and global standards are shaping autonomous vehicle safety.
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