NVIDIA DRIVE Hyperion Platform Reaches Key Automotive Safety and Cybersecurity Goals for AVs


January 7, 2025 by our News Team

NVIDIA's DRIVE Hyperion platform has passed rigorous safety assessments and is poised to revolutionize the world of autonomous vehicles with its advanced technology, modularity, and commitment to safety.

  • NVIDIA's DRIVE AGX Hyperion platform has passed rigorous safety assessments from respected organizations TÜV SÜD and TÜV Rheinland.
  • The DRIVE Hyperion is the first and only end-to-end autonomous driving platform, offering a comprehensive toolkit for customization and future upgrades.
  • NVIDIA has invested 15,000 engineering years into vehicle safety and has received multiple safety certifications, ensuring their advanced automotive systems meet industry standards.
  • NVIDIA is dedicated to thorough, independent assessments and is the first platform company to receive a complete set of third-party evaluations for their automotive technologies.
  • The new DRIVE Thor computer offers a leap forward in processing power and compatibility for developers transitioning to AV 2.0.
  • NVIDIA also offers other powerful systems, such as the DGX and Omniverse platforms, to support AV development and accelerate the deployment


NVIDIA’s Bold Leap in Autonomous Vehicle Safety

Today, nVidia has made waves in the world of autonomous vehicles (AVs) by announcing that its DRIVE AGX Hyperion platform has successfully passed rigorous safety assessments from TÜV SÜD and TÜV Rheinland. These two organizations are among the most respected names in automotive safety and cybersecurity. So, what does this mean for the future of AVs? It’s a clear signal that NVIDIA is not just playing in the autonomous driving space; they’re raising the bar for safety, innovation, and performance.

The DRIVE Hyperion isn’t just another tech gadget; it’s the first and only end-to-end autonomous driving platform out there. Think of it as a comprehensive toolkit that includes everything from the DRIVE AGX system-on-a-chip (SoC) to a sophisticated sensor suite and an active safety driving stack. Big names like Mercedes-Benz, JLR, and Volvo Cars are already on board, taking advantage of this modular system that allows them to customize what they need. Plus, it’s built for the future, meaning it can be easily upgraded as new technologies emerge.

A Game-Changer for Next-Gen Vehicles

Jensen Huang, NVIDIA’s founder and CEO, put it succinctly: “A billion vehicles driving trillions of miles each year move the world.” With the emergence of autonomous vehicles—one of the largest robotics markets—NVIDIA’s Blackwell-powered platform is set to turbocharge this revolution. But what’s really exciting is how the next wave of vehicles will be increasingly software-defined. Imagine cars that can receive new features and updates throughout their lifespan, akin to how your smartphone gets updates.

NVIDIA isn’t just throwing tech at the wall to see what sticks. They’ve invested a staggering 15,000 engineering years into vehicle safety. This commitment ensures that the advanced automotive systems powered by DRIVE Hyperion meet the strict standards of the industry. Just recently, NVIDIA secured a slew of safety certifications, including the ISO 21434 Cybersecurity Process certification from TÜV SÜD and compliance with ISO 26262 Automotive Safety Integrity Level (ASIL) D standards for their DriveOS 6.0.

Building a Safer Future with Third-Party Assessments

What sets NVIDIA apart is its dedication to thorough, independent assessments. They’re the first platform company to receive a complete set of third-party evaluations for their automotive technologies. This includes everything from the SoC to the software that powers the level 2+ applications. Additionally, NVIDIA is now accredited by the ANSI National Accreditation Board (ANAB) to conduct safety and cybersecurity inspections for their partners. This means that the NVIDIA DRIVE AI Systems Inspection Lab will help bolster the entire ecosystem, ensuring that autonomous driving software meets the highest safety and AI standards.

Next-Level Processing Power with DRIVE Thor

At the heart of DRIVE Hyperion is the DRIVE Thor, NVIDIA’s latest computer that builds on the success of the NVIDIA DRIVE Orin. This isn’t just an upgrade; it’s a leap forward in processing power. With its architecture designed for high-demand workloads, including generative AI and advanced vision language models, DRIVE Thor is poised to handle the complexities of autonomous driving.

The architecture’s compatibility means developers can easily transition from previous DRIVE generations while also integrating future updates. This flexibility is crucial as we move towards AV 2.0, which aims to deliver humanlike driving capabilities in even the most complicated roadway scenarios.

In addition to the in-vehicle DRIVE AGX computer, NVIDIA also offers other powerful systems that support AV development. The NVIDIA DGX systems are used for training advanced AI models in the cloud, while the NVIDIA Omniverse platform, running on NVIDIA OVX systems, provides a robust environment for simulation and validation. Together, these technologies—now enhanced with the new NVIDIA Cosmos world foundation model—are set to accelerate the development and mass deployment of autonomous vehicles.

In summary, NVIDIA is not just keeping pace with the rapidly evolving world of autonomous vehicles; they’re leading the charge. With a focus on safety, modularity, and technology, the future of driving is looking brighter than ever. Are we ready for the ride?

NVIDIA DRIVE Hyperion Platform Reaches Key Automotive Safety and Cybersecurity Goals for AVs

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Background Information


About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

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Technology Explained


Blackwell: Blackwell is an AI computing architecture designed to supercharge tasks like training large language models. These powerful GPUs boast features like a next-gen Transformer Engine and support for lower-precision calculations, enabling them to handle complex AI workloads significantly faster and more efficiently than before. While aimed at data centers, the innovations within Blackwell are expected to influence consumer graphics cards as well

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SoC: A System-on-Chip (SoC) is a highly integrated semiconductor device that encapsulates various electronic components, including processors, memory, input/output interfaces, and often specialized hardware components, all on a single chip. SoCs are designed to provide a complete computing system or subsystem within a single chip package, offering enhanced performance, power efficiency, and compactness. They are commonly used in a wide range of devices, from smartphones and tablets to embedded systems and IoT devices, streamlining hardware complexity and facilitating efficient integration of multiple functions onto a single chip.

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