Nvidia in the present day introduced that its autonomous automobile (AV) platform, Nvidia Drive AGX Hyperion, has handed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the {industry}’s foremostauthorities for automotive-grade security and cybersecurity.
This achievement raises the bar for AV security, innovation and efficiency, Nvidia stated throughout the keynote speech by Nvidia CEO Jensen Huang at CES 2025, the large tech commerce present in Las Vegas this week.
Drive Hyperion is the {industry}’s end-to-end autonomous driving platform. It contains the Drive AGX system-on-a-chip (SoC) and reference board design, the Nvidia DriveOS automotive working system, a sensor suite, and an lively security and stage 2+ driving stack.
Automotive security pioneers corresponding to Mercedes-Benz, JLR and Volvo Vehicles are adopting the platform, which is designed to be modular, so clients can simply use what they want. It’s also scalable and constructed to be upgradeable and suitable throughout future DRIVE SoC generations.
Obtainable within the first half of this 12 months, the newest iteration of Drive Hyperion — designed for each passenger and business automobiles — will function the high-performance Drive AGX Thor SoC constructed on the Nvidia Blackwell structure.
“A billion vehicles driving trillions of miles each year move the world. With autonomous vehicles — one of the largest robotics markets — now here, the Nvidia Blackwell-powered platform will shift this revolution into high gear,” stated Huang. “The next wave of autonomous machines will rely on physical AI world foundation models to understand and interact with the real world, and Nvidia Drive is purpose-built for this new era, delivering unmatched functional safety and AI.”
Driving security ahead: licensed assurance for next-gen automobiles
Nvidia Thor AI chip platform
Subsequent-generation automobiles can be more and more software-defined, able to receiving new options and performance over their lifetime. Tapping into Nvidia’s 15,000 engineering years invested in automobile security, Drive Hyperion will assist guarantee superior automotive techniques with wealthy, AI-based functionalities are compliant with the automotive {industry}’s stringent useful security and cybersecurity requirements.
Nvidia just lately obtained security certifications and assessments from accredited third events, together with:
● TÜV SÜD, which granted the ISO 21434 Cybersecurity Course of certification to Nvidia for automotive SoC, platform and software program engineering processes. Moreover, Nvidia DriveOS 6.0 conforms toISO 26262 Automotive Security Integrity Degree (ASIL) D requirements, pending certification launch.● TÜV Rheinland, which carried out an unbiased United Nations Financial Fee for Europe (UNECE) security evaluation of Nvidia Drive AV associated to security necessities for complicated electronicsystems.
As well as, Nvidia is now accredited by the ANSI Nationwide Accreditation Board (ANAB) to offer security and cybersecurity inspections for Nvidia Drive ecosystem companions. The brand new Nvidia Drive AI Techniques Inspection Lab will assist the Nvidia Drive automotive ecosystem construct autonomous driving software program that meets the {industry}’s evolving security and AI requirements.
Nvidia is the primary platform firm to obtain a complete set of third-party assessments for its automotive applied sciences — together with the Nvidia Drive end-to-end self-driving platform, spanning SoC, OS, sensor structure and stage 2+ software software program — in addition to unbiased accreditation as an AI techniques security and cybersecurity inspection lab for the automotive market.
Intelligence powered by industry-leading compute
Thus Nvidia has received a key accreditation for its autonomous tech.
Nvidia Drive Thor, the core laptop for Drive Hyperion, is the successor to the production-proven Nvidia Drive Orin. Its structure compatibility and scalability means builders can use present software program from earlier Drive product generations, in addition to combine future updates, to attain seamless improvement pipelines.
Drive Thor relies on the Nvidia Blackwell structure and is optimized for probably the most demanding processing workloads, together with these involving generative AI, imaginative and prescient language fashions and enormous language fashions. Its simplified structure enhances generalization, reduces latency and boosts security by harnessing highly effective Nvidia accelerated computing to run the end-to-end AV stack and a confirmed security stack in parallel.
Drive Thor paves the best way for the subsequent period of AV know-how, referred to as AV 2.0, which entails delivering humanlike autonomous driving capabilities for navigating probably the most complicated roadway situations.
Along with the Drive AGX in-vehicle laptop, two different Nvidia computer systems function the inspiration for automotive-grade AV improvement: Nvidia DGX techniques for coaching superior AI fashions and constructing a sturdy AV software program stack within the cloud, and the Nvidia Omniverse platform working on Nvidia OVX techniques for simulation and validation. These three computer systems, now enhanced with the brand new Nvidia Cosmos world basis mannequin platform, are set to speed up end-to-end AV improvement and mass deployment.
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