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AIModelKit > Events > NVIDIA Enhances Global DRIVE Hyperion Ecosystem to Speed Up Full Autonomy Development
Events

NVIDIA Enhances Global DRIVE Hyperion Ecosystem to Speed Up Full Autonomy Development

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Last updated: January 18, 2026 3:45 am
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NVIDIA Enhances Global DRIVE Hyperion Ecosystem to Speed Up Full Autonomy Development
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NVIDIA’s DRIVE Hyperion Ecosystem: Pioneering Level 4 Autonomy

At the recent CES trade show in Las Vegas, NVIDIA unveiled exciting updates to its DRIVE Hyperion ecosystem, enhancing collaboration with key industry players. This expansion now incorporates prominent tier 1 suppliers, automotive integrators, and sensor technology partners including Aeva, AUMOVIO, Astemo, Bosch, Hesai, Magna, Omnivision, Quanta, Sony, and ZF Group. These alliances reflect a unified commitment to advancing level 4-ready autonomous vehicles while applying the same framework to long-haul freight.

Contents
  • Driving the Future of Autonomous Mobility
  • A Robust and Expanding Sensor Ecosystem
  • Real-Time Compute Power: Level 4 Autonomy Made Possible
  • Ensuring Safety and Trust with NVIDIA Halos
  • Advanced AI Models and Tools for Seamless Development

Driving the Future of Autonomous Mobility

Ali Kani, NVIDIA’s vice president of automotive, emphasizes the significance of this initiative. He stated, “Everything that moves will eventually become autonomous, and DRIVE Hyperion is the backbone that makes that transition possible.” By integrating computing, sensors, and safety into a single open platform, NVIDIA is empowering automakers and the autonomous vehicle (AV) software ecosystem to accelerate the development of full autonomy. This commitment ensures that the technologies associated with DEV Hyperion are reliable, compatible, and low-risk.

A Robust and Expanding Sensor Ecosystem

A cornerstone of DRIVE Hyperion is its growing network of sensor partnerships, with industry leaders like Astemo, AUMOVIO, Bosch, Magna, and ZF Group developing electronic control units based on the DRIVE Hyperion architecture. Additionally, sensor manufacturers such as Aeva, Arbe, Hesai, Omnivision, and Sony are qualifying their sensor suites on this open platform, covering cameras, radar, lidar, and ultrasonic technologies.

This diverse sensor ecosystem enables automotive developers to construct and validate sophisticated perception systems optimized for level 4 autonomy. Centralized compute and sensor fusion ensure quick responses and synchronized actions, essential for advanced automated driving. As partners build foundational domain controllers or qualify their technologies on the DRIVE Hyperion architecture, they gain unparalleled compatibility with NVIDIA’s AV compute platform, expediting development and reducing integration complexities.

Real-Time Compute Power: Level 4 Autonomy Made Possible

At the heart of this comprehensive ecosystem lies NVIDIA DRIVE Hyperion, a production-ready compute and sensor reference architecture. It is ingeniously designed to prepare any vehicle for level 4 readiness, featuring dual NVIDIA DRIVE AGX Thor systems-on-a-chip built on the cutting-edge NVIDIA Blackwell architecture. This innovative setup provides over 2,000 FP4 teraflops of real-time compute power—translating to around 1,000 INT8 trillion operations per second to compile a complete 360-degree sensor view.

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This robust performance facilitates the integration of transformer-based perception and generative AI workloads, allowing real-time reasoning about intricate driving scenarios. Utilizing a shared compute and sensor infrastructure allows partners to focus on software and service enhancements, driving unique features while leveraging the safety and efficiency of NVIDIA’s AV platform.

Ensuring Safety and Trust with NVIDIA Halos

The deployment of DRIVE Hyperion is underscored by NVIDIA Halos, a holistic safety and cybersecurity framework encompassing everything from data centers to the vehicles themselves. Halos facilitates independent inspection, system validation, and certification processes, helping partners adhere to stringent global automotive safety standards.

In tandem with NVIDIA’s extensive simulation and AI data factory methodologies, Halos enables ongoing testing and iterative enhancements across countless virtual and real-world driving situations. This proactive approach boosts confidence among developers, regulators, and riders alike, mitigating risks associated with autonomous technology.

Advanced AI Models and Tools for Seamless Development

In line with its commitment to innovation, NVIDIA introduced a groundbreaking suite of AI models and tools called Alpamayo at CES. These models are intricately designed to make level 4 development more accessible across the automotive sector.

Optimized for real-time performance on the DRIVE Hyperion platform, the Alpamayo models accelerate the evolution and deployment of level 4 autonomous systems, whether for passenger vehicles or commercial transportation. This illustrates NVIDIA’s integrative approach that spans high-performance computing, sensor collaboration, AI training, and simulation to streamline the development of autonomous vehicles.

To stay updated and gain further insights, register and watch NVIDIA Live at CES. Dive into the future of autonomous driving where technology transcends boundaries, creating safer, smarter, and more efficient transportation solutions.

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